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recommendations</title> <meta name="description" content="Search results for: recommendations"> <meta name="keywords" content="recommendations"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="recommendations"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 2120</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: recommendations</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2120</span> Consumer Trust in User-Generated Brand Recommendations on Social Networking Sites</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Minimol%20M.%20C.">Minimol M. C.</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study provides insights into the consumer’s trust on user generated brand recommendations on social networking sites and also investigates the role of ad scepticism in generating consumer trust in user generated brand recommendations. The work contributes to a better understanding of trust development in the context of social networking sites. Specifically, the study reveals that not all dimensions of trustworthiness are equal. The individual user characteristics vary according to the person. The major finding of this study is that high degrees of trust toward user generated brand recommendations can be generated on the basis of high trust toward social networking sites and ad scepticism. Consumers trust the user generated brand recommendations based on the individual’s trust in the particular social networking platform and the level of their individual ad-scepticism. The study pinpoints that as consumers’ trust in user generated brand recommendations is affected by their trust in social networking sites, it is influenced by benevolence, integrity, the propensity to trust, and individual user characteristics to a great extent, and hence, it is imperative for brands should attempt to build on these factors so that they can engage consumers to generate user generated content on social media. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Consumer%20trust" title="Consumer trust">Consumer trust</a>, <a href="https://publications.waset.org/abstracts/search?q=user-generated%20brand%20recommendations" title=" user-generated brand recommendations"> user-generated brand recommendations</a>, <a href="https://publications.waset.org/abstracts/search?q=ad%20scepticism" title=" ad scepticism"> ad scepticism</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20networking%20sites" title=" social networking sites"> social networking sites</a> </p> <a href="https://publications.waset.org/abstracts/153453/consumer-trust-in-user-generated-brand-recommendations-on-social-networking-sites" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/153453.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">101</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2119</span> Visualizing Imaging Pathways after Anatomy-Specific Follow-Up Imaging Recommendations</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Thusitha%20Mabotuwana">Thusitha Mabotuwana</a>, <a href="https://publications.waset.org/abstracts/search?q=Christopher%20S.%20Hall"> Christopher S. Hall</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Radiologists routinely make follow-up imaging recommendations, usually based on established clinical practice guidelines, such as the Fleischner Society guidelines for managing lung nodules. In order to ensure optimal care, it is important to make guideline-compliant recommendations, and also for patients to follow-up on these imaging recommendations in a timely manner. However, determining such compliance rates after a specific finding has been observed usually requires many time-consuming manual steps. To address some of these limitations with current approaches, in this paper we discuss a methodology to automatically detect finding-specific follow-up recommendations from radiology reports and create a visualization for relevant subsequent exams showing the modality transitions. Nearly 5% of patients who had a lung related follow-up recommendation continued to have at least eight subsequent outpatient CT exams during a seven year period following the recommendation. Radiologist and section chiefs can use the proposed tool to better understand how a specific patient population is being managed, identify possible deviations from established guideline recommendations and have a patient-specific graphical representation of the imaging pathways for an abstract view of the overall treatment path thus far. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=follow-up%20recommendations" title="follow-up recommendations">follow-up recommendations</a>, <a href="https://publications.waset.org/abstracts/search?q=follow-up%20tracking" title=" follow-up tracking"> follow-up tracking</a>, <a href="https://publications.waset.org/abstracts/search?q=care%20pathways" title=" care pathways"> care pathways</a>, <a href="https://publications.waset.org/abstracts/search?q=imaging%20pathway%20visualization" title=" imaging pathway visualization"> imaging pathway visualization</a> </p> <a href="https://publications.waset.org/abstracts/98568/visualizing-imaging-pathways-after-anatomy-specific-follow-up-imaging-recommendations" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/98568.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">134</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2118</span> Factors Affecting in Soil Analysis Technique Adopted by the Southern Region Farmers, Syria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Moammar%20Dayoub">Moammar Dayoub</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study aimed to know the reality of farmers and determine the extent of adoption of the recommendations of the fertilizer and the difficulties and problems they face. The study was conducted on a random sample of farmers consist of 95 farmers who had analysed their field soil in scientific research centres in agricultural southern region through the form specially prepared for this purpose, the results showed that the rate of adoption of the fertilizer recommendations whole amounted to an average of 36.9% in the southern region, The degree of adoption was 34.7% in the region. The results showed that 41% of farmers did not implement the recommendations because of the non-convenient analysis, and 34% due to neglect, and 15% due to the weather and an environment, while 10% of them for lack of manure in the suitable time. The study also revealed that Independent factors affecting the continuing adoption of soil analysis are: farms experience, sampling method in farmer’s schools, irrigated area, and personal knowledge of farmers in analysing the soil. Also, show that the application of fertilizer recommendations led to increased production by 15-20%, this analysis emphasizes the importance of soil analysis and adherence to the recommendations of the research centres. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adoption" title="adoption">adoption</a>, <a href="https://publications.waset.org/abstracts/search?q=recommendations%20of%20the%20fertilizer" title=" recommendations of the fertilizer"> recommendations of the fertilizer</a>, <a href="https://publications.waset.org/abstracts/search?q=soil%20analysis" title=" soil analysis"> soil analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=southern%20region" title=" southern region"> southern region</a> </p> <a href="https://publications.waset.org/abstracts/89289/factors-affecting-in-soil-analysis-technique-adopted-by-the-southern-region-farmers-syria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/89289.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">169</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2117</span> Recommendations as a Key Aspect for Online Learning Personalization: Perceptions of Teachers and Students</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=N.%20Ipi%C3%B1a">N. Ipiña</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20Basagoiti"> R. Basagoiti</a>, <a href="https://publications.waset.org/abstracts/search?q=O.%20Jimenez"> O. Jimenez</a>, <a href="https://publications.waset.org/abstracts/search?q=I.%20Arriaran"> I. Arriaran</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Higher education students are increasingly enrolling in online courses, they are, at the same time, generating data about their learning process in the courses. Data collected in those technology enhanced learning spaces can be used to identify patterns and therefore, offer recommendations/personalized courses to future online students. Moreover, recommendations are considered key aspects for personalization in online learning. Taking into account the above mentioned context, the aim of this paper is to explore the perception of higher education students and teachers towards receiving recommendations in online courses. The study was carried out with 322 students and 10 teachers from two different faculties (Engineering and Education) from Mondragon University. Online questionnaires and face to face interviews were used to gather data from the participants. Results from the questionnaires show that most of the students would like to receive recommendations in their online courses as a guide in their learning process. Findings from the interviews also show that teachers see recommendations useful for their students’ learning process. However, teachers believe that specific pedagogical training is required. Conclusions can also be drawn as regards the importance of personalization in technology enhanced learning. These findings have significant implications for those who train online teachers due to the fact that pedagogy should be the driven force and further training on the topic could be required. Therefore, further research is needed to better understand the impact of recommendations on online students’ learning process and draw some conclusion on pedagogical concerns. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=higher%20education" title="higher education">higher education</a>, <a href="https://publications.waset.org/abstracts/search?q=perceptions" title=" perceptions"> perceptions</a>, <a href="https://publications.waset.org/abstracts/search?q=recommendations" title=" recommendations"> recommendations</a>, <a href="https://publications.waset.org/abstracts/search?q=online%20courses" title=" online courses"> online courses</a> </p> <a href="https://publications.waset.org/abstracts/58921/recommendations-as-a-key-aspect-for-online-learning-personalization-perceptions-of-teachers-and-students" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/58921.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">267</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2116</span> Context-Aware Recommender System Using Collaborative Filtering, Content-Based Algorithm and Fuzzy Rules</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Xochilt%20Ramirez-Garcia">Xochilt Ramirez-Garcia</a>, <a href="https://publications.waset.org/abstracts/search?q=Mario%20Garcia-Valdez"> Mario Garcia-Valdez</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Contextual recommendations are implemented in Recommender Systems to improve user satisfaction, recommender system makes accurate and suitable recommendations for a particular situation reaching personalized recommendations. The context provides information relevant to the Recommender System and is used as a filter for selection of relevant items for the user. This paper presents a Context-aware Recommender System, which uses techniques based on Collaborative Filtering and Content-Based, as well as fuzzy rules, to recommend items inside the context. The dataset used to test the system is Trip Advisor. The accuracy in the recommendations was evaluated with the Mean Absolute Error. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=algorithms" title="algorithms">algorithms</a>, <a href="https://publications.waset.org/abstracts/search?q=collaborative%20filtering" title=" collaborative filtering"> collaborative filtering</a>, <a href="https://publications.waset.org/abstracts/search?q=intelligent%20systems" title=" intelligent systems"> intelligent systems</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20logic" title=" fuzzy logic"> fuzzy logic</a>, <a href="https://publications.waset.org/abstracts/search?q=recommender%20systems" title=" recommender systems"> recommender systems</a> </p> <a href="https://publications.waset.org/abstracts/32865/context-aware-recommender-system-using-collaborative-filtering-content-based-algorithm-and-fuzzy-rules" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/32865.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">422</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2115</span> Designing an Integrated Platform for Real-Time Recommendations Sharing among the Aged and People Living with Cancer</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Adekunle%20O.%20Afolabi">Adekunle O. Afolabi</a>, <a href="https://publications.waset.org/abstracts/search?q=Pekka%20Toivanen"> Pekka Toivanen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The world is expected to experience growth in the number of ageing population, and this will bring about high cost of providing care for these valuable citizens. In addition, many of these live with chronic diseases that come with old age. Providing adequate care in the face of rising costs and dwindling personnel can be challenging. However, advances in technologies and emergence of the Internet of Things are providing a way to address these challenges while improving care giving. This study proposes the integration of recommendation systems into homecare to provide real-time recommendations for effective management of people receiving care at home and those living with chronic diseases. Using the simplified Training Logic Concept, stakeholders and requirements were identified. Specific requirements were gathered from people living with cancer. The solution designed has two components namely home and community, to enhance recommendations sharing for effective care giving. The community component of the design was implemented with the development of a mobile app called Recommendations Sharing Community for Aged and Chronically Ill People (ReSCAP). This component has illustrated the possibility of real-time recommendations, improved recommendations sharing among care receivers and between a physician and care receivers. Full implementation will increase access to health data for better care decision making. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=recommendation%20systems" title="recommendation systems">recommendation systems</a>, <a href="https://publications.waset.org/abstracts/search?q=Internet%20of%20Things" title=" Internet of Things"> Internet of Things</a>, <a href="https://publications.waset.org/abstracts/search?q=healthcare" title=" healthcare"> healthcare</a>, <a href="https://publications.waset.org/abstracts/search?q=homecare" title=" homecare"> homecare</a>, <a href="https://publications.waset.org/abstracts/search?q=real-time" title=" real-time"> real-time</a> </p> <a href="https://publications.waset.org/abstracts/106165/designing-an-integrated-platform-for-real-time-recommendations-sharing-among-the-aged-and-people-living-with-cancer" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/106165.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">154</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2114</span> Carbohydrate-Based Recommendations as a Basis for Dietary Guidelines </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20E.%20Buyken">A. E. Buyken</a>, <a href="https://publications.waset.org/abstracts/search?q=D.%20J.%20Mela"> D. J. Mela</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20Dussort"> P. Dussort</a>, <a href="https://publications.waset.org/abstracts/search?q=I.%20T.%20%20Johnson"> I. T. Johnson</a>, <a href="https://publications.waset.org/abstracts/search?q=I.%20A.%20Macdonald"> I. A. Macdonald</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Piekarz"> A. Piekarz</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20D.%20%20Stowell"> J. D. Stowell</a>, <a href="https://publications.waset.org/abstracts/search?q=F.%20Brouns"> F. Brouns </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Recently a number of renewed dietary guidelines have been published by various health authorities. The aim of the present work was 1) to review the processes (systematic approach/review, inclusion of public consultation) and methodological approaches used to identify and select the underpinning evidence base for the established recommendations for total carbohydrate (CHO), fiber and sugar consumption, and 2) examine how differences in the methods and processes applied may have influenced the final recommendations. A search of WHO, US, Canada, Australia and European sources identified 13 authoritative dietary guidelines with the desired detailed information. Each of these guidelines was evaluated for its scientific basis (types and grading of the evidence) and the processes by which the guidelines were developed Based on the data retrieved the following conclusions can be drawn: 1) Generally, a relatively high total CHO and fiber intake and limited intake of sugars (added or free) is recommended. 2) Even where recommendations are quite similar, the specific, justifications for quantitative/qualitative recommendations differ across authorities. 3) Differences appear to be due to inconsistencies in underlying definitions of CHO exposure and in the concurrent appraisal of CHO-providing foods and nutrients as well the choice and number of health outcomes selected for the evidence appraisal. 4) Differences in the selected articles, time frames or data aggregation method appeared to be of rather minor influence. From this assessment, the main recommendations are for: 1) more explicit quantitative justifications for numerical guidelines and communication of uncertainty; and 2) greater international harmonization, particularly with regard to underlying definitions of exposures and range of relevant nutrition-related outcomes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=carbohydrates" title="carbohydrates">carbohydrates</a>, <a href="https://publications.waset.org/abstracts/search?q=dietary%20fibres" title=" dietary fibres"> dietary fibres</a>, <a href="https://publications.waset.org/abstracts/search?q=dietary%20guidelines" title=" dietary guidelines"> dietary guidelines</a>, <a href="https://publications.waset.org/abstracts/search?q=recommendations" title=" recommendations"> recommendations</a>, <a href="https://publications.waset.org/abstracts/search?q=sugars" title=" sugars"> sugars</a> </p> <a href="https://publications.waset.org/abstracts/58839/carbohydrate-based-recommendations-as-a-basis-for-dietary-guidelines" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/58839.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">257</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2113</span> Social Media and Internet Celebrity for Social Commerce Intentional and Behavioral Recommendations</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shu-Hsien%20Liao">Shu-Hsien Liao</a>, <a href="https://publications.waset.org/abstracts/search?q=Yao-Hsuan%20Yang"> Yao-Hsuan Yang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Social media is a virtual community and online platform that people use to create, share, and exchange opinions/experiences. Internet celebrities are people who become famous on the Internet, increasing their popularity through their social networking or video websites. Social commerce (s-ecommerce) is the combination of social relations and commercial transaction activities. The combination of social media and Internet celebrities is an emerging model for the development of s-ecommerce. With recent advances in system sciences, recommendation systems are gradually moving to develop intentional and behavioral recommendations. This background leads to the research issues regarding digital and social media in enterprises. Thus, this study implements data mining analytics, including clustering analysis and association rules, to investigate Taiwanese users (n=2,102) to investigate social media and Internet celebrities’ preferences to find knowledge profiles/patterns/rules for s-ecommerce intentional and behavioral recommendations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=social%20media" title="social media">social media</a>, <a href="https://publications.waset.org/abstracts/search?q=internet%20celebrity" title=" internet celebrity"> internet celebrity</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20commerce%20%28s-ecommerce%29" title=" social commerce (s-ecommerce)"> social commerce (s-ecommerce)</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20mining%20analytics" title=" data mining analytics"> data mining analytics</a>, <a href="https://publications.waset.org/abstracts/search?q=intentional%20and%20behavioral%20recommendations" title=" intentional and behavioral recommendations"> intentional and behavioral recommendations</a> </p> <a href="https://publications.waset.org/abstracts/188977/social-media-and-internet-celebrity-for-social-commerce-intentional-and-behavioral-recommendations" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/188977.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">30</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2112</span> Survey on Fiber Optic Deployment for Telecommunications Operators in Ghana: Coverage Gap, Recommendations and Research Directions</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Francis%20Padi">Francis Padi</a>, <a href="https://publications.waset.org/abstracts/search?q=Solomon%20Nunoo"> Solomon Nunoo</a>, <a href="https://publications.waset.org/abstracts/search?q=John%20Kojo%20Annan"> John Kojo Annan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The paper "Survey on Fiber Optic Deployment for Telecommunications Operators in Ghana: Coverage Gap, Recommendations and Research Directions" presents a comprehensive survey on the deployment of fiber optic networks for telecommunications operators in Ghana. It addresses the challenges encountered by operators using microwave transmission systems for backhauling traffic and emphasizes the advantages of deploying fiber optic networks. The study delves into the coverage gap, provides recommendations, and outlines research directions to enhance the telecommunications infrastructure in Ghana. Additionally, it evaluates next-generation optical access technologies and architectures tailored to operators' needs. The paper also investigates current technological solutions and regulatory, technical, and economical dimensions related to sharing mobile telecommunication networks in emerging countries. Overall, this paper offers valuable insights into fiber optic network deployment for telecommunications operators in Ghana and suggests strategies to meet the increasing demand for data and mobile applications. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=survey%20on%20fiber%20optic%20deployment" title="survey on fiber optic deployment">survey on fiber optic deployment</a>, <a href="https://publications.waset.org/abstracts/search?q=coverage%20gap" title=" coverage gap"> coverage gap</a>, <a href="https://publications.waset.org/abstracts/search?q=recommendations" title=" recommendations"> recommendations</a>, <a href="https://publications.waset.org/abstracts/search?q=research%20directions" title=" research directions"> research directions</a> </p> <a href="https://publications.waset.org/abstracts/189425/survey-on-fiber-optic-deployment-for-telecommunications-operators-in-ghana-coverage-gap-recommendations-and-research-directions" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/189425.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">22</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2111</span> Analysis of Labor Effectiveness at Green Tea Dry Sorting Workstation for Increasing Tea Factory Competitiveness</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bayu%20Anggara">Bayu Anggara</a>, <a href="https://publications.waset.org/abstracts/search?q=Arita%20Dewi%20Nugrahini"> Arita Dewi Nugrahini</a>, <a href="https://publications.waset.org/abstracts/search?q=Didik%20Purwadi"> Didik Purwadi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Dry sorting workstation needs labor to produce green tea in Gambung Tea Factory. Observation results show that there is labor who are not working at the moment and doing overtime jobs to meet production targets. The measurement of the level of labor effectiveness has never been done before. The purpose of this study is to determine the level of labor effectiveness and provide recommendations for improvement based on the results of the Pareto diagram and Ishikawa diagram. The method used to measure the level of labor effectiveness is Overall Labor Effectiveness (OLE). OLE had three indicators which are availability, performance, and quality. Recommendations are made based on the results of the Pareto diagram and Ishikawa diagram for indicators that do not meet world standards. Based on the results of the study, the OLE value was 68.19%. Recommendations given to improve labor performance are adding mechanics, rescheduling rest periods, providing special training for labor, and giving rewards to labor. Furthermore, the recommendations for improving the quality of labor are procuring water content measuring devices, create material standard policies, and rescheduling rest periods. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ishikawa%20diagram" title="Ishikawa diagram">Ishikawa diagram</a>, <a href="https://publications.waset.org/abstracts/search?q=labor%20effectiveness" title=" labor effectiveness"> labor effectiveness</a>, <a href="https://publications.waset.org/abstracts/search?q=OLE" title=" OLE"> OLE</a>, <a href="https://publications.waset.org/abstracts/search?q=Pareto%20diagram" title=" Pareto diagram"> Pareto diagram</a> </p> <a href="https://publications.waset.org/abstracts/141467/analysis-of-labor-effectiveness-at-green-tea-dry-sorting-workstation-for-increasing-tea-factory-competitiveness" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/141467.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">229</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2110</span> Muslim Social Workers and Imams’ Recommendations in Marital and Child Custody Cases of Persons with Intellectual or Mental Disability</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Badran%20Leena">Badran Leena</a>, <a href="https://publications.waset.org/abstracts/search?q=Rimmerman%20Arie"> Rimmerman Arie</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Arab society in Israel is undergoing modernization and secularization. However, its approach to disability and mental illness is still dominated by religious and traditional stereotypes, as well as folk remedies and community practices. The present study examines differences in Muslim social workers' and Imams' recommendations in marriage/divorce and child custody cases of persons with intellectual disabilities (ID) or mental illness. The study has two goals: (1) To examine differences in recommendations between Imams and Muslim social workers; (2) To explore variables related to their differential recommendations as observed in their responses to vignettes—a quantitative study using vignettes resembling existing Muslim religious (Sharia) court cases. Muslim social workers (138) and Imams (48) completed a background questionnaire, a religiosity questionnaire, and a questionnaire that included 25 vignettes constructed by the researcher based on court rulings adapted for the study. Muslim social workers tended to consider the religious recommendation when the family of a person with ID or mental illness was portrayed in the vignette as religious. The same applied to Imams, albeit to a greater extent. The findings call for raising awareness among social workers and academics regarding the importance of religion and tradition in formulating professional recommendations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=child%20custody" title="child custody">child custody</a>, <a href="https://publications.waset.org/abstracts/search?q=intellectual%20and%20developmental%20disability" title=" intellectual and developmental disability"> intellectual and developmental disability</a>, <a href="https://publications.waset.org/abstracts/search?q=marriage%2Fdivorce" title=" marriage/divorce"> marriage/divorce</a>, <a href="https://publications.waset.org/abstracts/search?q=mental%20illness" title=" mental illness"> mental illness</a>, <a href="https://publications.waset.org/abstracts/search?q=sharia%20court" title=" sharia court"> sharia court</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20workers" title=" social workers"> social workers</a> </p> <a href="https://publications.waset.org/abstracts/141205/muslim-social-workers-and-imams-recommendations-in-marital-and-child-custody-cases-of-persons-with-intellectual-or-mental-disability" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/141205.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">181</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2109</span> Unlocking the Future of Grocery Shopping: Graph Neural Network-Based Cold Start Item Recommendations with Reverse Next Item Period Recommendation (RNPR)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tesfaye%20Fenta%20Boka">Tesfaye Fenta Boka</a>, <a href="https://publications.waset.org/abstracts/search?q=Niu%20Zhendong"> Niu Zhendong</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Recommender systems play a crucial role in connecting individuals with the items they require, as is particularly evident in the rapid growth of online grocery shopping platforms. These systems predominantly rely on user-centered recommendations, where items are suggested based on individual preferences, garnering considerable attention and adoption. However, our focus lies on the item-centered recommendation task within the grocery shopping context. In the reverse next item period recommendation (RNPR) task, we are presented with a specific item and challenged to identify potential users who are likely to consume it in the upcoming period. Despite the ever-expanding inventory of products on online grocery platforms, the cold start item problem persists, posing a substantial hurdle in delivering personalized and accurate recommendations for new or niche grocery items. To address this challenge, we propose a Graph Neural Network (GNN)-based approach. By capitalizing on the inherent relationships among grocery items and leveraging users' historical interactions, our model aims to provide reliable and context-aware recommendations for cold-start items. This integration of GNN technology holds the promise of enhancing recommendation accuracy and catering to users' individual preferences. This research contributes to the advancement of personalized recommendations in the online grocery shopping domain. By harnessing the potential of GNNs and exploring item-centered recommendation strategies, we aim to improve the overall shopping experience and satisfaction of users on these platforms. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=recommender%20systems" title="recommender systems">recommender systems</a>, <a href="https://publications.waset.org/abstracts/search?q=cold%20start%20item%20recommendations" title=" cold start item recommendations"> cold start item recommendations</a>, <a href="https://publications.waset.org/abstracts/search?q=online%20grocery%20%20%20shopping%20platforms" title=" online grocery shopping platforms"> online grocery shopping platforms</a>, <a href="https://publications.waset.org/abstracts/search?q=graph%20neural%20networks" title=" graph neural networks"> graph neural networks</a> </p> <a href="https://publications.waset.org/abstracts/170977/unlocking-the-future-of-grocery-shopping-graph-neural-network-based-cold-start-item-recommendations-with-reverse-next-item-period-recommendation-rnpr" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/170977.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">90</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2108</span> Tweets to Touchdowns: Predicting National Football League Achievement from Social Media Optimism</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rohan%20Erasala">Rohan Erasala</a>, <a href="https://publications.waset.org/abstracts/search?q=Ian%20McCulloh"> Ian McCulloh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The NFL Draft is a chance for every NFL team to select their next superstar. As a result, teams heavily invest in scouting, and millions of fans partake in the online discourse surrounding the draft. This paper investigates the potential correlations between positive sentiment in individual draft selection threads from the subreddit r/NFL and if this data can be used to make successful player recommendations. It is hypothesized that there will be limited correlations and nonviable recommendations made from these threads. The hypothesis is tested using sentiment analysis of draft thread comments and analyzing correlation and precision at k of top scores. The results indicate weak correlations between the percentage of positive comments in a draft selection thread and a player’s approximate value, but potentially viable recommendations from looking at players whose draft selection threads have the highest percentage of positive comments. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=national%20football%20league" title="national football league">national football league</a>, <a href="https://publications.waset.org/abstracts/search?q=NFL" title=" NFL"> NFL</a>, <a href="https://publications.waset.org/abstracts/search?q=NFL%20Draft" title=" NFL Draft"> NFL Draft</a>, <a href="https://publications.waset.org/abstracts/search?q=sentiment%20analysis" title=" sentiment analysis"> sentiment analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=Reddit" title=" Reddit"> Reddit</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20media" title=" social media"> social media</a>, <a href="https://publications.waset.org/abstracts/search?q=NLP" title=" NLP"> NLP</a> </p> <a href="https://publications.waset.org/abstracts/181171/tweets-to-touchdowns-predicting-national-football-league-achievement-from-social-media-optimism" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/181171.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">85</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2107</span> Development of Active Learning Calculus Course for Biomedical Program </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mikhail%20Bouniaev">Mikhail Bouniaev</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The paper reviews design and implementation of a Calculus Course required for the Biomedical Competency Based Program developed as a joint project between The University of Texas Rio Grande Valley, and the University of Texas’ Institute for Transformational Learning, from the theoretical perspective as presented in scholarly work on active learning, formative assessment, and on-line teaching. Following a four stage curriculum development process (objective, content, delivery, and assessment), and theoretical recommendations that guarantee effectiveness and efficiency of assessment in active learning, we discuss the practical recommendations on how to incorporate a strong formative assessment component to address disciplines’ needs, and students’ major needs. In design and implementation of this project, we used Constructivism and Stage-by-Stage Development of Mental Actions Theory recommendations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=active%20learning" title="active learning">active learning</a>, <a href="https://publications.waset.org/abstracts/search?q=assessment" title=" assessment"> assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=calculus" title=" calculus"> calculus</a>, <a href="https://publications.waset.org/abstracts/search?q=cognitive%20demand" title=" cognitive demand"> cognitive demand</a>, <a href="https://publications.waset.org/abstracts/search?q=mathematics" title=" mathematics"> mathematics</a>, <a href="https://publications.waset.org/abstracts/search?q=stage-by-stage%20development%20of%20mental%20action%20theory" title=" stage-by-stage development of mental action theory"> stage-by-stage development of mental action theory</a> </p> <a href="https://publications.waset.org/abstracts/73453/development-of-active-learning-calculus-course-for-biomedical-program" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/73453.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">360</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2106</span> The Phenomenon of Suicide in the Social Consciousness: Recommendations for the Educational Strategy of the Society and Prevention of Suicide</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Aldona%20Anna%20Osajda">Aldona Anna Osajda</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Suicide is a phenomenon that worries both the public and scientists in various fields. In society, suicide is a taboo subject, and in addition, there are many myths and stereotypes that are detrimental to the proper understanding and appropriate response of a person at risk of suicide. It is necessary to educate society and the suicide prevention system for various age groups. The research covers the level of knowledge and views of Polish society, including teachers and youth, regarding suicides. The main research problem is to establish the level of awareness of Polish society about the phenomenon of suicides. The study will be based on the diagnostic survey method, using the survey technique. Information about the research will be disseminated electronically on the Internet via social messaging. The collected data will be analyzed using appropriate statistics. On the basis of the obtained results, answers will be given to research questions, which will become the basis for designing an appropriate educational strategy for the society in the field of suicide and developing recommendations and recommendations for teachers to conduct classes in the field of suicide prevention for children and adolescents. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=phenomenon%20of%20suicides" title="phenomenon of suicides">phenomenon of suicides</a>, <a href="https://publications.waset.org/abstracts/search?q=suicide" title=" suicide"> suicide</a>, <a href="https://publications.waset.org/abstracts/search?q=suicide%20prevention" title=" suicide prevention"> suicide prevention</a>, <a href="https://publications.waset.org/abstracts/search?q=suicidology" title=" suicidology"> suicidology</a> </p> <a href="https://publications.waset.org/abstracts/135480/the-phenomenon-of-suicide-in-the-social-consciousness-recommendations-for-the-educational-strategy-of-the-society-and-prevention-of-suicide" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/135480.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">191</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2105</span> Recommendation Systems for Cereal Cultivation using Advanced Casual Inference Modeling</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Md%20Yeasin">Md Yeasin</a>, <a href="https://publications.waset.org/abstracts/search?q=Ranjit%20Kumar%20Paul"> Ranjit Kumar Paul</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In recent years, recommendation systems have become indispensable tools for agricultural system. The accurate and timely recommendations can significantly impact crop yield and overall productivity. Causal inference modeling aims to establish cause-and-effect relationships by identifying the impact of variables or factors on outcomes, enabling more accurate and reliable recommendations. New advancements in causal inference models have been found in the literature. With the advent of the modern era, deep learning and machine learning models have emerged as efficient tools for modeling. This study proposed an innovative approach to enhance recommendation systems-based machine learning based casual inference model. By considering the causal effect and opportunity cost of covariates, the proposed system can provide more reliable and actionable recommendations for cereal farmers. To validate the effectiveness of the proposed approach, experiments are conducted using cereal cultivation data of eastern India. Comparative evaluations are performed against existing correlation-based recommendation systems, demonstrating the superiority of the advanced causal inference modeling approach in terms of recommendation accuracy and impact on crop yield. Overall, it empowers farmers with personalized recommendations tailored to their specific circumstances, leading to optimized decision-making and increased crop productivity. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=agriculture" title="agriculture">agriculture</a>, <a href="https://publications.waset.org/abstracts/search?q=casual%20inference" title=" casual inference"> casual inference</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=recommendation%20system" title=" recommendation system"> recommendation system</a> </p> <a href="https://publications.waset.org/abstracts/169691/recommendation-systems-for-cereal-cultivation-using-advanced-casual-inference-modeling" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/169691.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">80</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2104</span> Delivery Service and Online-and-Offline Purchasing for Collaborative Recommendations on Retail Cross-Channels</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20H.%20Liao">S. H. Liao</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20M.%20Huang"> J. M. Huang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The delivery service business model is the final link in logistics for both online-and-offline businesses. The online-and-offline business model focuses on the entire customer purchasing process online and offline, placing greater emphasis on the importance of data to optimize overall retail operations. For the retail industry, it is an important task of information and management to strengthen the collection and investigation of consumers' online and offline purchasing data to better understand customers and then recommend products. This study implements two-stage data mining analytics for clustering and association rules analysis to investigate Taiwanese consumers' (n=2,209) preferences for delivery service. This process clarifies online-and-offline purchasing behaviors and preferences to find knowledge profiles/patterns/rules for cross-channel collaborative recommendations. Finally, theoretical and practical implications for methodology and enterprise are presented. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=delivery%20service" title="delivery service">delivery service</a>, <a href="https://publications.waset.org/abstracts/search?q=online-and-offline%20purchasing" title=" online-and-offline purchasing"> online-and-offline purchasing</a>, <a href="https://publications.waset.org/abstracts/search?q=retail%20cross-channel" title=" retail cross-channel"> retail cross-channel</a>, <a href="https://publications.waset.org/abstracts/search?q=collaborative%20recommendations" title=" collaborative recommendations"> collaborative recommendations</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20mining%20analytics" title=" data mining analytics"> data mining analytics</a> </p> <a href="https://publications.waset.org/abstracts/189150/delivery-service-and-online-and-offline-purchasing-for-collaborative-recommendations-on-retail-cross-channels" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/189150.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">31</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2103</span> Enforcement of Decisions of Ombudsmen and the South African Public Protector: Muzzling the Watchdogs</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Roxan%20Venter">Roxan Venter</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Ombudsmen often face the challenge of a lack of authority to have their decisions and recommendations enforced. This lack of authority may be seen as one of the major obstacles in the way of the effectiveness of the institutions of Ombudsman and also the South African Public Protector. The paper will address the current legal position in South Africa with regard to the status of the decisions and recommendations of the South African Public Protector and the enforcement thereof. In addition, the paper will compare the South African position with the experiences of other jurisdictions, including Scandinavian countries like Sweden, Denmark and Norway, but also New Zealand and Northern Ireland, with regard to the enforcement of the decisions of Ombudsmen. Finally, the paper will make recommendations with regard to the enhancement of the power and authority of Ombudsmen in order to effectively enforce their decisions. It is submitted that the creation of the office of Ombudsman, and the Public Protector in the South African system, is an essential tool to ensure the protection of society against governmental abuse of power and it is therefore imperative to ensure that these watchdogs of democracy are not muzzled by a lack of powers of enforcement. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=enforcement%20of%20decisions%20of%20ombudsmen" title="enforcement of decisions of ombudsmen">enforcement of decisions of ombudsmen</a>, <a href="https://publications.waset.org/abstracts/search?q=governmental%20control" title=" governmental control"> governmental control</a>, <a href="https://publications.waset.org/abstracts/search?q=ombudsman" title=" ombudsman"> ombudsman</a>, <a href="https://publications.waset.org/abstracts/search?q=South%20African%20public%20protector" title=" South African public protector"> South African public protector</a> </p> <a href="https://publications.waset.org/abstracts/44483/enforcement-of-decisions-of-ombudsmen-and-the-south-african-public-protector-muzzling-the-watchdogs" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/44483.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">400</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2102</span> Understanding the Influence on Drivers’ Recommendation and Review-Writing Behavior in the P2P Taxi Service</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Liwen%20Hou">Liwen Hou</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The booming mobile business has been penetrating the taxi industry worldwide with P2P (peer to peer) taxi services, as an emerging business model, transforming the industry. Parallel with other mobile businesses, member recommendations and online reviews are believed to be very effective with regard to acquiring new users for P2P taxi services. Based on an empirical dataset of the taxi industry in China, this study aims to reveal which factors influence users’ recommendations and review-writing behaviors. Differing from the existing literature, this paper takes the taxi driver’s perspective into consideration and hence selects a group of variables related to the drivers. We built two models to reflect the factors that influence the number of recommendations and reviews posted on the platform (i.e., the app). Our models show that all factors, except the driver’s score, significantly influence the recommendation behavior. Likewise, only one factor, passengers’ bad reviews, is insignificant in generating more drivers’ reviews. In the conclusion, we summarize the findings and limitations of the research. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=online%20recommendation" title="online recommendation">online recommendation</a>, <a href="https://publications.waset.org/abstracts/search?q=P2P%20taxi%20service" title=" P2P taxi service"> P2P taxi service</a>, <a href="https://publications.waset.org/abstracts/search?q=review-writing" title=" review-writing"> review-writing</a>, <a href="https://publications.waset.org/abstracts/search?q=word%20of%20mouth" title=" word of mouth"> word of mouth</a> </p> <a href="https://publications.waset.org/abstracts/49579/understanding-the-influence-on-drivers-recommendation-and-review-writing-behavior-in-the-p2p-taxi-service" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/49579.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">306</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2101</span> A Brave New World of Privacy: Empirical Insights into the Metaverse’s Personalization Dynamics</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Cheng%20Xu">Cheng Xu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> As the metaverse emerges as a dynamic virtual simulacrum of reality, its implications on user privacy have become a focal point of interest. While previous discussions have ventured into metaverse privacy dynamics, a glaring empirical gap persists, especially concerning the effects of personalization in the context of news recommendation services. This study stands at the forefront of addressing this void, meticulously examining how users' privacy concerns shift within the metaverse's personalization context. Through a pre-registered randomized controlled experiment, participants engaged in a personalization task across both the metaverse and traditional online platforms. Upon completion of this task, a comprehensive news recommendation service provider offers personalized news recommendations to the users. Our empirical findings reveal that the metaverse inherently amplifies privacy concerns compared to traditional settings. However, these concerns are notably mitigated when users have a say in shaping the algorithms that drive these recommendations. This pioneering research not only fills a significant knowledge gap but also offers crucial insights for metaverse developers and policymakers, emphasizing the nuanced role of user input in shaping algorithm-driven privacy perceptions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=metaverse" title="metaverse">metaverse</a>, <a href="https://publications.waset.org/abstracts/search?q=privacy%20concerns" title=" privacy concerns"> privacy concerns</a>, <a href="https://publications.waset.org/abstracts/search?q=personalization" title=" personalization"> personalization</a>, <a href="https://publications.waset.org/abstracts/search?q=digital%20interaction" title=" digital interaction"> digital interaction</a>, <a href="https://publications.waset.org/abstracts/search?q=algorithmic%20recommendations" title=" algorithmic recommendations"> algorithmic recommendations</a> </p> <a href="https://publications.waset.org/abstracts/171235/a-brave-new-world-of-privacy-empirical-insights-into-the-metaverses-personalization-dynamics" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/171235.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">117</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2100</span> Artificial Intelligence Technologies Used in Healthcare: Its Implication on the Healthcare Workforce and Applications in the Diagnosis of Diseases</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rowanda%20Daoud%20Ahmed">Rowanda Daoud Ahmed</a>, <a href="https://publications.waset.org/abstracts/search?q=Mansoor%20Abdulhak"> Mansoor Abdulhak</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Azeem%20Afzal"> Muhammad Azeem Afzal</a>, <a href="https://publications.waset.org/abstracts/search?q=Sezer%20Filiz"> Sezer Filiz</a>, <a href="https://publications.waset.org/abstracts/search?q=Usama%20Ahmad%20Mughal"> Usama Ahmad Mughal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper discusses important aspects of AI in the healthcare domain. The increase of data in healthcare both in size and complexity, opens more room for artificial intelligence applications. Our focus is to review the main AI methods within the scope of the health care domain. The results of the review show that recommendations for diagnosis and recommendations for treatment, patent engagement, and administrative tasks are the key applications of AI in healthcare. Understanding the potential of AI methods in the domain of healthcare would benefit healthcare practitioners and will improve patient outcomes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=AI%20in%20healthcare" title="AI in healthcare">AI in healthcare</a>, <a href="https://publications.waset.org/abstracts/search?q=technologies%20of%20AI" title=" technologies of AI"> technologies of AI</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20network" title=" neural network"> neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=future%20of%20AI%20in%20healthcare" title=" future of AI in healthcare"> future of AI in healthcare</a> </p> <a href="https://publications.waset.org/abstracts/154786/artificial-intelligence-technologies-used-in-healthcare-its-implication-on-the-healthcare-workforce-and-applications-in-the-diagnosis-of-diseases" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/154786.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">112</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2099</span> Getting It Right Before Implementation: Using Simulation to Optimize Recommendations and Interventions After Adverse Event Review</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Melissa%20Langevin">Melissa Langevin</a>, <a href="https://publications.waset.org/abstracts/search?q=Natalie%20Ward"> Natalie Ward</a>, <a href="https://publications.waset.org/abstracts/search?q=Colleen%20Fitzgibbons"> Colleen Fitzgibbons</a>, <a href="https://publications.waset.org/abstracts/search?q=Christa%20Ramsey"> Christa Ramsey</a>, <a href="https://publications.waset.org/abstracts/search?q=Melanie%20Hogue"> Melanie Hogue</a>, <a href="https://publications.waset.org/abstracts/search?q=Anna%20Theresa%20Lobos"> Anna Theresa Lobos</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Description: Root Cause Analysis (RCA) is used by health care teams to examine adverse events (AEs) to identify causes which then leads to recommendations for prevention Despite widespread use, RCA has limitations. Best practices have not been established for implementing recommendations or tracking the impact of interventions after AEs. During phase 1 of this study, we used simulation to analyze two fictionalized AEs that occurred in hospitalized paediatric patients to identify and understand how the errors occurred and generated recommendations to mitigate and prevent recurrences. Scenario A involved an error of commission (inpatient drug error), and Scenario B involved detecting an error that already occurred (critical care drug infusion error). Recommendations generated were: improved drug labeling, specialized drug kids, alert signs and clinical checklists. Aim: Use simulation to optimize interventions recommended post critical event analysis prior to implementation in the clinical environment. Methods: Suggested interventions from Phase 1 were designed and tested through scenario simulation in the clinical environment (medicine ward or pediatric intensive care unit). Each scenario was simulated 8 times. Recommendations were tested using different, voluntary teams and each scenario was debriefed to understand why the error was repeated despite interventions and how interventions could be improved. Interventions were modified with subsequent simulations until recommendations were felt to have an optimal effect and data saturation was achieved. Along with concrete suggestions for design and process change, qualitative data pertaining to employee communication and hospital standard work was collected and analyzed. Results: Each scenario had a total of three interventions to test. In, scenario 1, the error was reproduced in the initial two iterations and mitigated following key intervention changes. In scenario 2, the error was identified immediately in all cases where the intervention checklist was utilized properly. Independently of intervention changes and improvements, the simulation was beneficial to identify which of these should be prioritized for implementation and highlighted that even the potential solutions most frequently suggested by participants did not always translate into error prevention in the clinical environment. Conclusion: We conclude that interventions that help to change process (epinephrine kit or mandatory checklist) were more successful at preventing errors than passive interventions (signage, change in memory aids). Given that even the most successful interventions needed modifications and subsequent re-testing, simulation is key to optimizing suggested changes. Simulation is a safe, practice changing modality for institutions to use prior to implementing recommendations from RCA following AE reviews. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adverse%20events" title="adverse events">adverse events</a>, <a href="https://publications.waset.org/abstracts/search?q=patient%20safety" title=" patient safety"> patient safety</a>, <a href="https://publications.waset.org/abstracts/search?q=pediatrics" title=" pediatrics"> pediatrics</a>, <a href="https://publications.waset.org/abstracts/search?q=root%20cause%20analysis" title=" root cause analysis"> root cause analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=simulation" title=" simulation"> simulation</a> </p> <a href="https://publications.waset.org/abstracts/101712/getting-it-right-before-implementation-using-simulation-to-optimize-recommendations-and-interventions-after-adverse-event-review" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/101712.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">152</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2098</span> Analyzing the Value of Brand Engagement on Social Media for B2B Firms: Evidence from China</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shuai%20Yang">Shuai Yang</a>, <a href="https://publications.waset.org/abstracts/search?q=Bin%20Li"> Bin Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Sixing%20Chen"> Sixing Chen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Engaging and co-creating value with buyers (i.e., the buying organizations) have rapidly become a rising trend for sellers (i.e., the selling organizations) within Business-to-Business (B2B) environments, through which buyers can interact more with sellers and be better informed about products. One important way to achieve this is through engaging with buyers on social media, termed as brand engagement on social media, which provides a platform for sellers to interact with customers. This study addresses the research gap by answering the following questions: (1) Are B2B firms’ brand engagement on social media related to their firm value? (2) To what extent do analyst stock recommendations channel B2B firms’ brand engagement on social media’s possible impact on firm value? To answer the research questions, this study collected data merged from multiple sources. The results show that there is a positive association between seller-initiated engagement and B2B sellers’ firm value. Besides, analyst stock recommendations mediate the positive relationships between seller-initiated engagement and firm value. However, this study reveals buyer-initiated engagement has a counterintuitive and negative relationship with firm value, which shows a dark side of buyer-initiated engagement on social media for B2B sellers. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=brand%20engagement" title="brand engagement">brand engagement</a>, <a href="https://publications.waset.org/abstracts/search?q=B2B%20firms" title=" B2B firms"> B2B firms</a>, <a href="https://publications.waset.org/abstracts/search?q=firm%20value" title=" firm value"> firm value</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20media" title=" social media"> social media</a>, <a href="https://publications.waset.org/abstracts/search?q=stock%20recommendations" title=" stock recommendations"> stock recommendations</a> </p> <a href="https://publications.waset.org/abstracts/68547/analyzing-the-value-of-brand-engagement-on-social-media-for-b2b-firms-evidence-from-china" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/68547.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">308</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2097</span> Customer Experience Management in Food and Beverage Outlet at Indian School of Business: Methodology and Recommendations</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Anupam%20Purwar">Anupam Purwar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In conventional consumer product industry, stockouts are taken care by carrying buffer stock to check underserving caused by changes in customer demand, incorrect forecast or variability in lead times. But, for food outlets, the alternate of carrying buffer stock is unviable because of indispensable need to serve freshly cooked meals. Besides, the food outlet being the sole provider has no incentives to reduce stockouts, as they have no fear of losing revenue, gross profit, customers and market share. Hence, innovative, easy to implement and practical ways of addressing the twin problem of long queues and poor customer experience needs to be investigated. Current work analyses the demand pattern of 11 different food items across a routine day. Based on this optimum resource allocation for all food items has been carried out by solving a linear programming problem with cost minimization as the objective. Concurrently, recommendations have been devised to address this demand and supply side problem keeping in mind their practicability. Currently, the recommendations are being discussed and implemented at ISB (Indian School of Business) Hyderabad campus. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=F%26B%20industry" title="F&B industry">F&B industry</a>, <a href="https://publications.waset.org/abstracts/search?q=resource%20allocation" title=" resource allocation"> resource allocation</a>, <a href="https://publications.waset.org/abstracts/search?q=demand%20management" title=" demand management"> demand management</a>, <a href="https://publications.waset.org/abstracts/search?q=linear%20programming" title=" linear programming"> linear programming</a>, <a href="https://publications.waset.org/abstracts/search?q=LP" title=" LP"> LP</a>, <a href="https://publications.waset.org/abstracts/search?q=queuing%20analysis" title=" queuing analysis"> queuing analysis</a> </p> <a href="https://publications.waset.org/abstracts/102394/customer-experience-management-in-food-and-beverage-outlet-at-indian-school-of-business-methodology-and-recommendations" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/102394.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">138</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2096</span> E-Learning Recommender System Based on Collaborative Filtering and Ontology</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=John%20Tarus">John Tarus</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhendong%20Niu"> Zhendong Niu</a>, <a href="https://publications.waset.org/abstracts/search?q=Bakhti%20Khadidja"> Bakhti Khadidja</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In recent years, e-learning recommender systems has attracted great attention as a solution towards addressing the problem of information overload in e-learning environments and providing relevant recommendations to online learners. E-learning recommenders continue to play an increasing educational role in aiding learners to find appropriate learning materials to support the achievement of their learning goals. Although general recommender systems have recorded significant success in solving the problem of information overload in e-commerce domains and providing accurate recommendations, e-learning recommender systems on the other hand still face some issues arising from differences in learner characteristics such as learning style, skill level and study level. Conventional recommendation techniques such as collaborative filtering and content-based deal with only two types of entities namely users and items with their ratings. These conventional recommender systems do not take into account the learner characteristics in their recommendation process. Therefore, conventional recommendation techniques cannot make accurate and personalized recommendations in e-learning environment. In this paper, we propose a recommendation technique combining collaborative filtering and ontology to recommend personalized learning materials to online learners. Ontology is used to incorporate the learner characteristics into the recommendation process alongside the ratings while collaborate filtering predicts ratings and generate recommendations. Furthermore, ontological knowledge is used by the recommender system at the initial stages in the absence of ratings to alleviate the cold-start problem. Evaluation results show that our proposed recommendation technique outperforms collaborative filtering on its own in terms of personalization and recommendation accuracy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=collaborative%20filtering" title="collaborative filtering">collaborative filtering</a>, <a href="https://publications.waset.org/abstracts/search?q=e-learning" title=" e-learning"> e-learning</a>, <a href="https://publications.waset.org/abstracts/search?q=ontology" title=" ontology"> ontology</a>, <a href="https://publications.waset.org/abstracts/search?q=recommender%20system" title=" recommender system"> recommender system</a> </p> <a href="https://publications.waset.org/abstracts/64364/e-learning-recommender-system-based-on-collaborative-filtering-and-ontology" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/64364.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">380</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2095</span> State of Play of Mobile Government Apps on Google Play Store</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdelbaset%20Rabaiah">Abdelbaset Rabaiah</a> </p> <p class="card-text"><strong>Abstract:</strong></p> e-Government mobile applications provide an extension for effective e-government services in today’s omniconnected world. They constitute part of m-government platforms. This study explores the usefulness, availability, discoverability and maturity of such applications. While this study impacts theory by addressing a relatively lacking area, it impacts practice more. The outcomes of this study suggest valuable recommendations for practitioners-developers of e-government applications. The methodology followed is to examine a large number of e-government smartphone applications. The focus is on applications available at the Google Play Store. Moreover, the study investigates applications published on government portals of a number of countries. A sample of 15 countries is researched. The results show a diversity in the level of discoverability, development, maturity, and usage of smartphone apps dedicated for use of e-government services. It was found that there are major issues in discovering e-government applications on both the Google Play Store and as-well-as on local government portals. The study found that only a fraction of mobile government applications was published on the Play Store. Only 19% of apps were multilingual, and 43% were developed by third parties including private individuals. Further analysis was made, and important recommendations are suggested in this paper for a better utilization of e-government smartphone applications. These recommendations will result in better discoverability, maturity, and usefulness of e-government applications. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=mobile%20applications" title="mobile applications">mobile applications</a>, <a href="https://publications.waset.org/abstracts/search?q=e-government" title=" e-government"> e-government</a>, <a href="https://publications.waset.org/abstracts/search?q=m-government" title=" m-government"> m-government</a>, <a href="https://publications.waset.org/abstracts/search?q=Google%20Play%20Store" title=" Google Play Store"> Google Play Store</a> </p> <a href="https://publications.waset.org/abstracts/98733/state-of-play-of-mobile-government-apps-on-google-play-store" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/98733.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">149</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2094</span> School Counseling in Sri Lanka: Analysis of the past Recommending a Way Forward</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Buddhiprabha%20D.%20D.%20Pathirana">Buddhiprabha D. D. Pathirana</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Despite a rapid increase in the number of school counselors in the recent past; procuring the service of school counselors is a luxury that many Sri Lankan schools cannot afford. In addition, school counseling in Sri Lanka also faces new challenges in implementation due to the fact that a generally agreed consensus on training, ethical standards, role identity, counseling model, and structures for school counselors has not been reached. Therefore, this paper has several objectives. First, it reviews a brief history of school counseling in Sri Lanka and describes its current status. Second, it describes current trends/ problems specific to Sri Lankan school counseling milieu which have limited the progress of school counseling as a practice. Third, it discusses societal and cultural issues that are important to consider when implementing school counseling as a practices in Sri Lanka and provides recommendations to improve it. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=school%20counseling" title="school counseling">school counseling</a>, <a href="https://publications.waset.org/abstracts/search?q=Sri%20Lanka" title=" Sri Lanka"> Sri Lanka</a>, <a href="https://publications.waset.org/abstracts/search?q=current%20situation" title=" current situation"> current situation</a>, <a href="https://publications.waset.org/abstracts/search?q=recommendations" title=" recommendations"> recommendations</a> </p> <a href="https://publications.waset.org/abstracts/40075/school-counseling-in-sri-lanka-analysis-of-the-past-recommending-a-way-forward" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/40075.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">538</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2093</span> Strategic Management of a Geoscience Education and Training Program</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lee%20Ock-Sun">Lee Ock-Sun</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The effective development of a geoscience education and training program takes account of the rapidly changing environment in the geoscience market, includes information about resource-rich countries which have international education demands. In this paper, we introduce the geoscience program run bythe International School for Geoscience Resources at the Korea Institute of Geoscience and Mineral Resources (IS-Geo of KIGAM),and show its remarkable performance. To further effective geoscience program planning and operation, we present recommendations for strategic management for customer-oriented operation with a more favorable program format and advanced training aids. Above all, the IS-Geo of KIGAM should continue improve through‘plan-do-see-feedback’activities based on the recommendations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=demand%20survey" title="demand survey">demand survey</a>, <a href="https://publications.waset.org/abstracts/search?q=geoscience%20program" title=" geoscience program"> geoscience program</a>, <a href="https://publications.waset.org/abstracts/search?q=program%20performance" title=" program performance"> program performance</a>, <a href="https://publications.waset.org/abstracts/search?q=strategic%20management" title=" strategic management"> strategic management</a> </p> <a href="https://publications.waset.org/abstracts/16571/strategic-management-of-a-geoscience-education-and-training-program" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/16571.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">444</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2092</span> Emotion Mining and Attribute Selection for Actionable Recommendations to Improve Customer Satisfaction</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jaishree%20Ranganathan">Jaishree Ranganathan</a>, <a href="https://publications.waset.org/abstracts/search?q=Poonam%20Rajurkar"> Poonam Rajurkar</a>, <a href="https://publications.waset.org/abstracts/search?q=Angelina%20A.%20Tzacheva"> Angelina A. Tzacheva</a>, <a href="https://publications.waset.org/abstracts/search?q=Zbigniew%20W.%20Ras"> Zbigniew W. Ras</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In today’s world, business often depends on the customer feedback and reviews. Sentiment analysis helps identify and extract information about the sentiment or emotion of the of the topic or document. Attribute selection is a challenging problem, especially with large datasets in actionable pattern mining algorithms. Action Rule Mining is one of the methods to discover actionable patterns from data. Action Rules are rules that help describe specific actions to be made in the form of conditions that help achieve the desired outcome. The rules help to change from any undesirable or negative state to a more desirable or positive state. In this paper, we present a Lexicon based weighted scheme approach to identify emotions from customer feedback data in the area of manufacturing business. Also, we use Rough sets and explore the attribute selection method for large scale datasets. Then we apply Actionable pattern mining to extract possible emotion change recommendations. This kind of recommendations help business analyst to improve their customer service which leads to customer satisfaction and increase sales revenue. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=actionable%20pattern%20discovery" title="actionable pattern discovery">actionable pattern discovery</a>, <a href="https://publications.waset.org/abstracts/search?q=attribute%20selection" title=" attribute selection"> attribute selection</a>, <a href="https://publications.waset.org/abstracts/search?q=business%20data" title=" business data"> business data</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20mining" title=" data mining"> data mining</a>, <a href="https://publications.waset.org/abstracts/search?q=emotion" title=" emotion"> emotion</a> </p> <a href="https://publications.waset.org/abstracts/126886/emotion-mining-and-attribute-selection-for-actionable-recommendations-to-improve-customer-satisfaction" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/126886.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">199</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2091</span> Towards the Management of Cybersecurity Threats in Organisations</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=O.%20A.%20Ajigini">O. A. Ajigini</a>, <a href="https://publications.waset.org/abstracts/search?q=E.%20N.%20Mwim"> E. N. Mwim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Cybersecurity is the protection of computers, programs, networks, and data from attack, damage, unauthorised, unintended access, change, or destruction. Organisations collect, process and store their confidential and sensitive information on computers and transmit this data across networks to other computers. Moreover, the advent of internet technologies has led to various cyberattacks resulting in dangerous consequences for organisations. Therefore, with the increase in the volume and sophistication of cyberattacks, there is a need to develop models and make recommendations for the management of cybersecurity threats in organisations. This paper reports on various threats that cause malicious damage to organisations in cyberspace and provides measures on how these threats can be eliminated or reduced. The paper explores various aspects of protection measures against cybersecurity threats such as handling of sensitive data, network security, protection of information assets and cybersecurity awareness. The paper posits a model and recommendations on how to manage cybersecurity threats in organisations effectively. The model and the recommendations can then be utilised by organisations to manage the threats affecting their cyberspace. The paper provides valuable information to assist organisations in managing their cybersecurity threats and hence protect their computers, programs, networks and data in cyberspace. The paper aims to assist organisations to protect their information assets and data from cyberthreats as part of the contributions toward community engagement. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=confidential%20information" title="confidential information">confidential information</a>, <a href="https://publications.waset.org/abstracts/search?q=cyberattacks" title=" cyberattacks"> cyberattacks</a>, <a href="https://publications.waset.org/abstracts/search?q=cybersecurity" title=" cybersecurity"> cybersecurity</a>, <a href="https://publications.waset.org/abstracts/search?q=cyberspace" title=" cyberspace"> cyberspace</a>, <a href="https://publications.waset.org/abstracts/search?q=sensitive%20information" title=" sensitive information"> sensitive information</a> </p> <a href="https://publications.waset.org/abstracts/62869/towards-the-management-of-cybersecurity-threats-in-organisations" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/62869.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">259</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=recommendations&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=recommendations&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=recommendations&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=recommendations&page=5">5</a></li> <li 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