<?xml version="1.0" encoding="UTF-8"?> <article key="pdf/7326" mdate="2011-10-25 00:00:00"> <author>Kim Nee Goh and Viknesh Kumar Naleyah</author> <title>Matching Current Search with Future Postings</title> <pages>1228 - 1231</pages> <year>2011</year> <volume>5</volume> <number>10</number> <journal>International Journal of Economics and Management Engineering</journal> <ee>https://publications.waset.org/pdf/7326</ee> <url>https://publications.waset.org/vol/58</url> <publisher>World Academy of Science, Engineering and Technology</publisher> <abstract>Online trading is an alternative to conventional shopping method. People trade goods which are new or preowned before. However, there are times when a user is not able to search the items wanted online. This is because the items may not be posted as yet, thus ending the search. Conventional search mechanism only works by searching and matching search criteria (requirement) with data available in a particular database. This research aims to match current search requirements with future postings. This would involve the time factor in the conventional search method. A Car Matching Alert System (CMAS) prototype was developed to test the matching algorithm. When a buyers search returns no result, the system saves the search and the buyer will be alerted if there is a match found based on future postings. The algorithm developed is useful and as it can be applied in other search context. </abstract> <index>Open Science Index 58, 2011</index> </article>