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tensorsite-hero--redesign" data-section-id="hero"> <div class="tensorsite-hero__side tensorsite-hero__side--left"> </div> <div class="tensorsite-hero__side tensorsite-hero__side--right"> </div> <div class="tensorsite-hero__side tensorsite-hero__side--left-lower"> </div> <div class="tensorsite-hero__content"> <div class="tensorsite-content"> <h1 class="tensorsite-content__title" id="recommendation-systems" data-text=" Recommendation systems " tabindex="-1"> Recommendation systems </h1> <div class="tensorsite-content__description"> <inline-html> <p>From food ordering to video on demand and audio streaming to fashion, recommendation systems power some of the most popular applications today. Explore how you can build production-ready recommendation systems with open source libraries and tools from the TensorFlow ecosystem.</p> </inline-html> </div> </div> </div> <div class="tensorsite-hero__image"> </div> </section> <section class="tensorsite-side-side tensorsite-side-side--redesign" data-section-id="hero"> <div class="tensorsite-side-side__background"> </div> <div class="tensorsite-container tensorsite-container--no-padding"> <div class="tensorsite-side-side-wrapper tensorsite-side-side-wrapper--reverse"> <div class="tensorsite-side-side__main-section"> <div class="tensorsite-content"> <div class="tensorsite-content__description"> <inline-html> <p>Recommendation systems increase user engagement within your app and elevate user experience by providing the most desirable content. Modern recommenders are complex systems that are often broken down into multiple stages to achieve low latency in production. Through the retrieval, ranking, and potentially post-ranking stages, irrelevant items are gradually filtered out from a large pool of candidates and a list of options that users are the most likely to interact with are finally presented.</p> <p>Start building with <a content-type="blog" href="https://blog.tensorflow.org/2020/11/tensorflow-recommenders-scalable-retrieval-feature-interaction-modelling.html" item-id="TensorFlow Recommenders" rel="noopener noreferrer" target="_blank">TensorFlow Recommenders</a>, an easy-to-use framework that facilitates the full workflow of building a recommender system from data preparation to deployment.</p> </inline-html> </div> <div class="tensorsite-content__cta-wrapper"> <a class="tensorsite-content__cta tensorsite-content__button tensorsite-button tensorsite-content__cta-icon tensorsite-icon--redesign-arrow--small" devsite="true" href="/recommenders" item-id="TensorFlow Recommenders"> Get started with TensorFlow Recommenders <span> </span> </a> </div> </div> </div> <div class="tensorsite-side-side__secondary-section"> <div class="tensorsite-content__image-wrapper" style="background-image: url(/site-assets/images/marketing/resources/recommendation-systems/recsys-diagram.gif)"> </div> </div> </div> </div> </section> <section class="tensorsite-side-side tensorsite-side-side--redesign" data-section-id="hero"> <div class="tensorsite-side-side__background"> </div> <div class="tensorsite-container"> <div class="tensorsite-side-side-wrapper"> <div class="tensorsite-side-side__main-section"> <div class="tensorsite-content"> <div class="tensorsite-content__description"> <inline-html> <p>When you've finished training your models, deploy them into production to serve recommendations to end users. TensorFlow Serving productionizes your models for high performance inference. It aims to maximize the throughput of machine learning models and can support large recommendation models that require distributed serving.</p> </inline-html> </div> <div class="tensorsite-content__cta-wrapper"> <a class="tensorsite-content__cta tensorsite-content__button tensorsite-button tensorsite-content__cta-icon tensorsite-icon--redesign-arrow--small" devsite="true" href="/tfx/guide/serving" item-id="TensorFlow Serving"> Get started with TensorFlow Serving <span> </span> </a> </div> </div> </div> <div class="tensorsite-side-side__secondary-section"> <div class="scrollfit tensorsite-side-side__code-block"> <div></div><devsite-code><pre class="devsite-click-to-copy devsite-disable-click-to-copy" translate="no" dir="ltr" is-upgraded syntax="scdoc"><span class="devsite-syntax-gh">#</span> Deploy the retrieval model with TensorFlow Serving docker run -t --rm -p 8501:8501 \ -v "RETRIEVAL/MODEL/PATH:/models/retrieval" \ -e MODEL_NAME=retrieval tensorflow/serving & <span class="devsite-syntax-gh">#</span> Retrieve top movies that user 42 may like curl -X POST -H "Content-Type: application/json" \ -d '{"instances":["42"]}' \ http://localhost:8501/v1/models/retrieval:predict <span class="devsite-syntax-gh">#</span> Output <span class="devsite-syntax-gh">#</span> { <span class="devsite-syntax-gh">#</span> "predictions":[ <span class="devsite-syntax-gh">#</span> { <span class="devsite-syntax-gh">#</span> "output_1": [2.032, 1.969, 1.813], <span class="devsite-syntax-gh">#</span> "output_2": ["movie1”, “movie2”, “movie3”] <span class="devsite-syntax-gh">#</span> } <span class="devsite-syntax-gh">#</span> ] <span class="devsite-syntax-gh">#</span> } <span class="devsite-syntax-gh">#</span> Deploy the ranking model with TensorFlow Serving docker run -t --rm -p 8501:8501 \ -v "RANKING/MODEL/PATH:/models/ranking" \ -e MODEL_NAME=ranking tensorflow/serving & <span class="devsite-syntax-gh">#</span> Get the prediction score for user 42 and movie 3 curl -X POST -H "Content-Type: application/json" \ -d '{"instances":[{"user_id":"42", "movie_title":"movie3"}]}' \ http://localhost:8501/v1/models/ranking:predict <span class="devsite-syntax-gh">#</span> Output: <span class="devsite-syntax-gh">#</span> {"predictions": [[3.66357923]]}</pre></devsite-code> </div> </div> </div> </div> </section> <section class="tensorsite-container tensorsite-single-cta" data-section-id="hero"> <div class="material-symbols-outlined"> code_blocks </div> <a class="tensorsite-content__cta" href="https://codelabs.developers.google.com/tfrecommenders-flutter" item-id="Learn how to build and deploy a full stack recommendation system"> Learn how to build and deploy a full stack recommendation system with TensorFlow </a> </section> <section #="" analytics="" anchors="" class="tensorsite-group tensorsite-group--redesign tensorsite-group--gray tensorsite-group--2up padding-100" data-section-id="ranking-retrieval" for=""> <div class="tensorsite-side-side__background"> </div> <div class="tensorsite-container tensorsite-container--redesign-margin"> <div class="tensorsite-group__header"> <div class="tensorsite-content"> <h3 class="tensorsite-content__title" id="improve-the-retrieval-and-ranking-stages-of-recommendation-engines" data-text=" Improve the retrieval and ranking stages of recommendation engines " tabindex="-1"> Improve the retrieval and ranking stages of recommendation engines </h3> <div class="tensorsite-content__description"> <inline-html> <p>Large-scale recommendation systems require the most relevant items to be determined from millions of candidates through the retrieval and ranking stages in an effective and efficient manner. Complement TensorFlow Recommenders with state-of-the-art Approximate Nearest Neighbor (ANN) search algorithms and learning-to-rank (LTR) techniques to improve recommendations.</p> </inline-html> </div> </div> </div> <div class="tensorsite-group__inner"> <div class="tensorsite-card tensorsite-card--card"> <div class="tensorsite-content"> <a class="tensorsite-content__title" href="https://github.com/google-research/google-research/tree/master/scann" item-id="Google ScaNN" rel="noopener noreferrer" target="_blank"> Google ScaNN </a> <div class="tensorsite-content__description"> <inline-html> <p>ScaNN is a library for vector similarity search at scale. It leverages state-of-the-art ANN techniques, such as asymmetric hashing and anisotropic quantization, to accelerate retrieval of top candidates.</p> </inline-html> </div> <div class="tensorsite-content__cta-wrapper tensorsite-content__cta-wrapper--abreast"> <a class="tensorsite-content__cta tensorsite-content__cta-icon tensorsite-icon--external" href="https://github.com/google-research/google-research/tree/master/scann" item-id="Google ScaNN" rel="noopener noreferrer" tabindex="-1" target="_blank"> GitHub <span> </span> </a> <a class="tensorsite-content__cta tensorsite-content__cta-icon tensorsite-icon--external" content-type="blog" href="https://ai.googleblog.com/2020/07/announcing-scann-efficient-vector.html" item-id="Google ScaNN" rel="noopener noreferrer" target="_blank"> Blog Post <span> </span> </a> <a class="tensorsite-content__cta tensorsite-content__cta-icon tensorsite-icon--internal" content-type="tutorial" devsite="true" href="/recommenders/examples/efficient_serving" item-id="Google ScaNN"> Tutorial <span> </span> </a> </div> </div> </div> <div class="tensorsite-card tensorsite-card--card"> <div class="tensorsite-content"> <a class="tensorsite-content__title" href="https://github.com/tensorflow/ranking" item-id="TensorFlow Ranking" rel="noopener noreferrer" target="_blank"> TensorFlow Ranking </a> <div class="tensorsite-content__description"> <inline-html> <p>TensorFlow Ranking is a library for developing scalable, neural LTR models. It provides additional functionalities to rank candidate items to maximize the ranking utilities.</p> </inline-html> </div> <div class="tensorsite-content__cta-wrapper tensorsite-content__cta-wrapper--abreast"> <a class="tensorsite-content__cta tensorsite-content__cta-icon tensorsite-icon--external" href="https://github.com/tensorflow/ranking" item-id="TensorFlow Ranking" rel="noopener noreferrer" tabindex="-1" target="_blank"> GitHub <span> </span> </a> <a class="tensorsite-content__cta tensorsite-content__cta-icon tensorsite-icon--external" content-type="blog" href="https://ai.googleblog.com/2018/12/tf-ranking-scalable-tensorflow-library.html" item-id="TensorFlow Ranking" rel="noopener noreferrer" target="_blank"> Blog Post <span> </span> </a> <a class="tensorsite-content__cta tensorsite-content__cta-icon tensorsite-icon--internal" content-type="tutorial" devsite="true" href="/recommenders/examples/listwise_ranking" item-id="TensorFlow Ranking"> Tutorial <span> </span> </a> </div> </div> </div> </div> </div> </section> <section #="" analytics="" anchors="" class="tensorsite-group tensorsite-group--redesign tensorsite-group--2up" data-section-id="large embeddings" for=""> <div class="tensorsite-side-side__background"> </div> <div class="tensorsite-container tensorsite-container--redesign-margin"> <div class="tensorsite-group__header"> <div class="tensorsite-content"> <h3 class="tensorsite-content__title" id="optimize-large-embeddings-for-model-training-and-inference" data-text=" Optimize large embeddings for model training and inference " tabindex="-1"> Optimize large embeddings for model training and inference </h3> <div class="tensorsite-content__description"> <inline-html> <p>The embedding lookup operation is a critical component for large-scale recommendation systems. Leverage hardware acceleration and dynamic embedding technology to overcome performance bottlenecks common in large embedding tables.</p> </inline-html> </div> </div> </div> <div class="tensorsite-group__inner"> <div class="tensorsite-card tensorsite-card--card"> <div class="tensorsite-content"> <a class="tensorsite-content__title" devsite="true" href="/api_docs/python/tf/tpu/experimental/embedding/TPUEmbedding" item-id="TensorFlow TPUEmbedding"> TensorFlow TPUEmbedding </a> <div class="tensorsite-content__description"> <inline-html> <p>The TPUEmbedding layer API facilitates training and serving large embedding tables on Tensor Processing Units (TPUs).</p> </inline-html> </div> <div class="tensorsite-content__cta-wrapper tensorsite-content__cta-wrapper--abreast"> <a class="tensorsite-content__cta tensorsite-content__cta-icon tensorsite-icon--internal" devsite="true" href="/api_docs/python/tf/tpu/experimental/embedding/TPUEmbedding" item-id="TensorFlow TPUEmbedding" tabindex="-1"> Doc <span> </span> </a> <a class="tensorsite-content__cta tensorsite-content__cta-icon tensorsite-icon--external" content-type="blog" href="https://cloud.google.com/blog/topics/developers-practitioners/building-large-scale-recommenders-using-cloud-tpus" item-id="TensorFlow TPUEmbedding" rel="noopener noreferrer" target="_blank"> Blog Post <span> </span> </a> </div> </div> </div> <div class="tensorsite-card tensorsite-card--card"> <div class="tensorsite-content"> <a class="tensorsite-content__title tensorsite-icon tensorsite-icon--group" href="https://github.com/tensorflow/recommenders-addons" item-id="TensorFlow Recommenders Addons" rel="noopener noreferrer" target="_blank"> TensorFlow Recommenders Addons <span> </span> </a> <div class="tensorsite-content__description"> <inline-html> <p>TensorFlow Recommenders Addons is a community-contributed project that leverages dynamic embedding technology that is particularly useful for online learning.</p> </inline-html> </div> <div class="tensorsite-content__cta-wrapper tensorsite-content__cta-wrapper--abreast"> <a class="tensorsite-content__cta tensorsite-content__cta-icon tensorsite-icon--external" href="https://github.com/tensorflow/recommenders-addons" item-id="TensorFlow Recommenders Addons" rel="noopener noreferrer" tabindex="-1" target="_blank"> GitHub <span> </span> </a> </div> </div> </div> </div> </div> </section> <section #="" analytics="" anchors="" class="tensorsite-group tensorsite-group--redesign tensorsite-group--gray tensorsite-group--2up padding-100" data-section-id="privacy" for=""> <div class="tensorsite-side-side__background"> </div> <div class="tensorsite-container tensorsite-container--redesign-margin"> <div class="tensorsite-group__header"> <div class="tensorsite-content"> <h3 class="tensorsite-content__title" id="preserve-user-privacy" data-text=" Preserve user privacy " tabindex="-1"> Preserve user privacy </h3> <div class="tensorsite-content__description"> <inline-html> <p>Traditional recommendation engines rely on collecting user interaction logs and training recommendation models based on raw user activities. Ensure that user data remains private by incorporating <a content-type="cta" href="https://www.tensorflow.org/responsible_ai" item-id="Responsible AI">Responsible AI</a> development practices.</p> </inline-html> </div> </div> </div> <div class="tensorsite-group__inner"> <div class="tensorsite-card tensorsite-card--card"> <div class="tensorsite-content"> <a class="tensorsite-content__title" href="https://ai.google.dev/edge/lite/examples/recommendation/overview" item-id="TensorFlow Lite on-device recommendation"> TensorFlow Lite on-device recommendation </a> <div class="tensorsite-content__description"> <inline-html> <p>TensorFlow Lite provides an on-device recommendation solution that achieves low-latency and high-quality recommendations, while keeping all user data on the mobile devices.</p> </inline-html> </div> <div class="tensorsite-content__cta-wrapper tensorsite-content__cta-wrapper--abreast"> <a class="tensorsite-content__cta tensorsite-content__cta-icon tensorsite-icon--internal" href="https://ai.google.dev/edge/lite/examples/recommendation/overview" item-id="TensorFlow Lite on-device recommendation" tabindex="-1"> Doc <span> </span> </a> <a class="tensorsite-content__cta tensorsite-content__cta-icon tensorsite-icon--external" content-type="blog" href="https://blog.tensorflow.org/2020/09/introduction-to-tflite-on-device-recommendation.html" item-id="TensorFlow Lite on-device recommendation" rel="noopener noreferrer" target="_blank"> Blog Post <span> </span> </a> </div> </div> </div> <div class="tensorsite-card tensorsite-card--card"> <div class="tensorsite-content"> <a class="tensorsite-content__title" content-type="tutorial" devsite="true" href="/federated/tutorials/federated_reconstruction_for_matrix_factorization" item-id="Federated Reconstruction with TensorFlow Federated"> Federated Reconstruction with TensorFlow Federated </a> <div class="tensorsite-content__description"> <inline-html> <p>TensorFlow Federated is a framework for federated learning and other computations on decentralized data. Federated Reconstruction brings matrix factorization to the federated learning setting and better protects user privacy for recommendations.</p> </inline-html> </div> <div class="tensorsite-content__cta-wrapper tensorsite-content__cta-wrapper--abreast"> <a class="tensorsite-content__cta tensorsite-content__cta-icon tensorsite-icon--internal" content-type="tutorial" devsite="true" href="/federated/tutorials/federated_reconstruction_for_matrix_factorization" item-id="Federated Reconstruction with TensorFlow Federated" tabindex="-1"> Tutorial <span> </span> </a> <a class="tensorsite-content__cta tensorsite-content__cta-icon tensorsite-icon--external" content-type="blog" href="https://ai.googleblog.com/2021/12/a-scalable-approach-for-partially-local.html" item-id="Federated Reconstruction with TensorFlow Federated" rel="noopener noreferrer" target="_blank"> Blog Post <span> </span> </a> </div> </div> </div> </div> </div> </section> <section #="" analytics="" anchors="" class="tensorsite-group tensorsite-group--redesign tensorsite-group--3up" data-section-id="advanced techniques" for=""> <div class="tensorsite-side-side__background"> </div> <div class="tensorsite-container tensorsite-container--redesign-margin"> <div class="tensorsite-group__header"> <div class="tensorsite-content"> <h3 class="tensorsite-content__title" id="use-advanced-techniques-for-more-sophisticated-recommenders" data-text=" Use advanced techniques for more sophisticated recommenders " tabindex="-1"> Use advanced techniques for more sophisticated recommenders </h3> <div class="tensorsite-content__description"> <inline-html> <p>While classical collaborative filtering models are widely used in the industry, there is a growing trend to adopt advanced techniques, such as reinforcement learning and Graph Neural Networks (GNNs), to build recommendation systems.</p> </inline-html> </div> </div> </div> <div class="tensorsite-group__inner"> <div class="tensorsite-card tensorsite-card--card"> <div class="tensorsite-content"> <a class="tensorsite-content__title" href="https://github.com/tensorflow/agents/tree/master/tf_agents/bandits" item-id="TensorFlow Agents Bandits" rel="noopener noreferrer" target="_blank"> TensorFlow Agents Bandits </a> <div class="tensorsite-content__description"> <inline-html> <p>TensorFlow Agents Bandits is a comprehensive library of bandit algorithms that can explore and exploit effectively in the recommendation engine setting.</p> </inline-html> </div> <div class="tensorsite-content__cta-wrapper tensorsite-content__cta-wrapper--abreast"> <a class="tensorsite-content__cta tensorsite-content__cta-icon tensorsite-icon--external" href="https://github.com/tensorflow/agents/tree/master/tf_agents/bandits" item-id="TensorFlow Agents Bandits" rel="noopener noreferrer" tabindex="-1" target="_blank"> GitHub <span> </span> </a> <a class="tensorsite-content__cta tensorsite-content__cta-icon tensorsite-icon--external" content-type="blog" href="https://blog.tensorflow.org/2021/07/using-tensorflow-agents-bandits-library-for-recommendations.html" item-id="TensorFlow Agents Bandits" rel="noopener noreferrer" target="_blank"> Blog Post <span> </span> </a> </div> </div> </div> <div class="tensorsite-card tensorsite-card--card"> <div class="tensorsite-content"> <a class="tensorsite-content__title" href="https://github.com/tensorflow/gnn" item-id="TensorFlow GNN" rel="noopener noreferrer" target="_blank"> TensorFlow GNN </a> <div class="tensorsite-content__description"> <inline-html> <p>TensorFlow GNN is a library that can efficiently facilitate item recommendations based on network structures and be used in conjunction with retrieval and ranking models.</p> </inline-html> </div> <div class="tensorsite-content__cta-wrapper tensorsite-content__cta-wrapper--abreast"> <a class="tensorsite-content__cta tensorsite-content__cta-icon tensorsite-icon--external" href="https://github.com/tensorflow/gnn" item-id="TensorFlow GNN" rel="noopener noreferrer" tabindex="-1" target="_blank"> GitHub <span> </span> </a> <a class="tensorsite-content__cta tensorsite-content__cta-icon tensorsite-icon--external" content-type="blog" href="https://blog.tensorflow.org/2021/11/introducing-tensorflow-gnn.html" item-id="TensorFlow GNN" rel="noopener noreferrer" target="_blank"> Blog Post <span> </span> </a> </div> </div> </div> <div class="tensorsite-card tensorsite-card--card"> <div class="tensorsite-content"> <a class="tensorsite-content__title" content-type="blog" href="https://blog.tensorflow.org/2023/04/training-recommendation-model-with-dynamic-embeddings.html" item-id="Generative AI" rel="noopener noreferrer" target="_blank"> Generative AI </a> <div class="tensorsite-content__description"> <inline-html> <p>Learn how to use large language models (LLMs) like the PaLM API to augment your recommendation systems.</p> </inline-html> </div> <div class="tensorsite-content__cta-wrapper tensorsite-content__cta-wrapper--abreast"> <a class="tensorsite-content__cta tensorsite-content__cta-icon tensorsite-icon--external" content-type="blog" href="https://blog.tensorflow.org/2023/04/training-recommendation-model-with-dynamic-embeddings.html" item-id="Generative AI" rel="noopener noreferrer" tabindex="-1" target="_blank"> Blog Post <span> </span> </a> </div> </div> </div> </div> </div> <div class="recsys"> <img alt src="/static/site-assets/images/marketing/resources/recommendation-systems/bg-diagram.png"> </div> </section> <section class="tensorsite-side-side tensorsite-side-side--redesign tensorsite-side-side--gray card tensorsite-side-side--centered" data-section-id="advanced techniques"> <div class="tensorsite-side-side__background"> </div> <div class="tensorsite-container"> <div class="tensorsite-side-side-wrapper"> <div class="tensorsite-side-side__main-section"> <div class="tensorsite-content"> <h3 class="tensorsite-content__title" id="reference-state-of-the-art-recommendation-models" data-text=" Reference state-of-the-art recommendation models " tabindex="-1"> Reference state-of-the-art recommendation models </h3> <div class="tensorsite-content__description"> <inline-html> <p>To benchmark performance for a well-known model or build your own recommendation models, check out official TensorFlow implementations of popular models – such as NCF, DLRM, and DCN v2 – for best practices.</p> </inline-html> </div> <div class="tensorsite-content__cta-wrapper"> <a class="tensorsite-content__cta tensorsite-content__button tensorsite-button tensorsite-content__cta-icon tensorsite-icon--redesign-arrow--small" href="https://github.com/tensorflow/models/tree/master/official#recommendation" item-id="TensorFlow Model Garden"> Visit TensorFlow Model Garden <span> </span> </a> </div> </div> </div> <div class="tensorsite-side-side__secondary-section"> <div class="tensorsite-content__image-wrapper contain-image" style="background-image: url(/site-assets/images/marketing/resources/recommendation-systems/model-garden.png)"> </div> </div> </div> </div> </section> <section #="" analytics="" anchors="" class="tensorsite-group tensorsite-group--redesign tensorsite-group--3up" data-section-id="learn ml" for=""> <div class="tensorsite-side-side__background"> </div> <div class="tensorsite-container tensorsite-container--redesign-margin"> <div class="tensorsite-group__header"> <div class="tensorsite-content"> <h3 class="tensorsite-content__title" id="educational-resources" data-text=" Educational resources " tabindex="-1"> Educational resources </h3> <div class="tensorsite-content__description"> <inline-html> <p>Learn more about building recommendation systems by following step-by-step courses and videos.</p> </inline-html> </div> </div> </div> <div class="tensorsite-group__inner"> <div class="tensorsite-card tensorsite-card--card"> <div class="tensorsite-content__image-wrapper"> <img alt class="tensorsite-content__image" src="/static/site-assets/images/marketing/resources/recommendation-systems/google-developers-recsys.jpeg"> </img> </div> <div class="tensorsite-content tensorsite-content--under-image"> <div class="tensorsite-content__subtitle tensorsite-content__subtitle--bold tensorsite-content__subtitle-icon tensorsite-icon--course"> Course <span> </span> </div> <a class="tensorsite-content__title tensorsite-content__title--grow" href="https://developers.google.com/machine-learning/recommendation" item-id="Intro to recommendation systems" rel="noopener noreferrer" target="_blank"> Intro to recommendation systems </a> <div class="tensorsite-content__cta-wrapper"> <a class="tensorsite-content__cta tensorsite-content__cta-icon tensorsite-icon--external" href="https://developers.google.com/machine-learning/recommendation" item-id="Intro to recommendation systems" rel="noopener noreferrer" tabindex="-1" target="_blank"> Explore the course <span> </span> </a> </div> </div> </div> <div class="tensorsite-card tensorsite-card--card"> <div class="tensorsite-content__image-wrapper"> <img alt class="tensorsite-content__image" src="/static/site-assets/images/marketing/resources/recommendation-systems/tf-youtube-series.jpg"> </div> <div class="tensorsite-content tensorsite-content--under-image"> <div class="tensorsite-content__subtitle tensorsite-content__subtitle--bold tensorsite-content__subtitle-icon tensorsite-icon--video-series"> Video Series <span> </span> </div> <a class="tensorsite-content__title tensorsite-content__title--grow" href="https://www.youtube.com/watch?v=BthUPVwA59s&list=PLQY2H8rRoyvy2MiyUBz5RWZr5MPFkV3qz&index=1" item-id="Building recommendation systems with TensorFlow" rel="noopener noreferrer" target="_blank"> Building recommendation systems with TensorFlow </a> <div class="tensorsite-content__cta-wrapper"> <a class="tensorsite-content__cta tensorsite-content__cta-icon tensorsite-icon--external" href="https://www.youtube.com/watch?v=BthUPVwA59s&list=PLQY2H8rRoyvy2MiyUBz5RWZr5MPFkV3qz&index=1" item-id="Building recommendation systems with TensorFlow" rel="noopener noreferrer" tabindex="-1" target="_blank"> Watch the videos <span> </span> </a> </div> </div> </div> <div class="tensorsite-card tensorsite-card--card"> <div class="tensorsite-content__image-wrapper"> <img alt class="tensorsite-content__image" src="/static/site-assets/images/marketing/resources/recommendation-systems/building-a-fullstack-recsys.jpg"> </div> <div class="tensorsite-content tensorsite-content--under-image"> <div class="tensorsite-content__subtitle tensorsite-content__subtitle--bold tensorsite-content__subtitle-icon tensorsite-icon--codelab"> Codelab <span> </span> </div> <a class="tensorsite-content__title tensorsite-content__title--grow" href="https://codelabs.developers.google.com/tfrecommenders-flutter" item-id="Building a full stack recommendation system" rel="noopener noreferrer" target="_blank"> Building a full stack recommendation system </a> <div class="tensorsite-content__cta-wrapper"> <a class="tensorsite-content__cta tensorsite-content__cta-icon tensorsite-icon--external" href="https://codelabs.developers.google.com/tfrecommenders-flutter" item-id="Building a full stack recommendation system" rel="noopener noreferrer" tabindex="-1" target="_blank"> Try the codelab <span> </span> </a> </div> </div> </div> </div> </div> </section> <div class="tensorsite-jumbotron"> <img alt src="/static/site-assets/images/marketing/home/home-join-header.png"> </div> <section #="" analytics="" anchors="" class="tensorsite-group tensorsite-group--redesign tensorsite-group--gray tensorsite-group--4up padding-100" data-section-id="case study" for=""> <div class="tensorsite-side-side__background"> </div> <div class="tensorsite-container tensorsite-container--redesign-margin"> <div class="tensorsite-group__header"> <div class="tensorsite-content"> <h3 class="tensorsite-content__title" id="real-world-recommendation-systems" data-text=" Real-world recommendation systems " tabindex="-1"> Real-world recommendation systems </h3> <div class="tensorsite-content__description"> <inline-html> <p>Explore examples and case studies of recommendation systems powering applications in every industry.</p> </inline-html> </div> </div> </div> <div class="tensorsite-group__inner"> <div class="tensorsite-card tensorsite-card--card"> <div class="tensorsite-content__image-wrapper"> <img alt class="tensorsite-content__image" src="/static/site-assets/images/marketing/resources/recommendation-systems/recsys-video-app.png"> </img> </div> <div class="tensorsite-content tensorsite-content--under-image"> <a class="tensorsite-content__title" href="https://blog.youtube/inside-youtube/on-youtubes-recommendation-system/" item-id="Online video" rel="noopener noreferrer" target="_blank"> Online video </a> <div class="tensorsite-content__description"> <inline-html> <p>Learn how YouTube builds their powerful recommendation system in a responsible manner.</p> </inline-html> </div> <div class="tensorsite-content__cta-wrapper"> <a class="tensorsite-content__cta tensorsite-content__cta-icon tensorsite-icon--external" href="https://blog.youtube/inside-youtube/on-youtubes-recommendation-system/" item-id="Online video" rel="noopener noreferrer" tabindex="-1" target="_blank"> Read the blog <span> </span> </a> </div> </div> </div> <div class="tensorsite-card tensorsite-card--card"> <div class="tensorsite-content__image-wrapper"> <img alt class="tensorsite-content__image" src="/static/site-assets/images/marketing/resources/recommendation-systems/recsys-digitac-galaxus.gif"> </div> <div class="tensorsite-content tensorsite-content--under-image"> <a class="tensorsite-content__title" href="https://blog.tensorflow.org/2021/08/how-digitec-galaxus-trains-and-serves-millions-of-personalized-newsletters-per-week-with-TFX.html" item-id="Ecommerce" rel="noopener noreferrer" target="_blank"> Ecommerce </a> <div class="tensorsite-content__description"> <inline-html> <p>Read about how Digitec Galaxus trains and serves millions of personalized newsletters per week with TFX and TensorFlow Agents.</p> </inline-html> </div> <div class="tensorsite-content__cta-wrapper"> <a class="tensorsite-content__cta tensorsite-content__cta-icon tensorsite-icon--external" href="https://blog.tensorflow.org/2021/08/how-digitec-galaxus-trains-and-serves-millions-of-personalized-newsletters-per-week-with-TFX.html" item-id="Ecommerce" rel="noopener noreferrer" tabindex="-1" target="_blank"> Read the blog <span> </span> </a> </div> </div> </div> <div class="tensorsite-card tensorsite-card--card"> <div class="tensorsite-content__image-wrapper"> <img alt class="tensorsite-content__image" src="/static/site-assets/images/marketing/resources/recommendation-systems/recsys-harperdb-tensorflow-js.jpeg"> </div> <div class="tensorsite-content tensorsite-content--under-image"> <a class="tensorsite-content__title" href="https://www.youtube.com/watch?v=JQksipdQiGI" item-id="Grocery" rel="noopener noreferrer" target="_blank"> Grocery </a> <div class="tensorsite-content__description"> <inline-html> <p>Learn how HarperDB uses TensorFlow Recommenders and TensorFlow.js to build a collaborative-filtering-based recommendation system for grocery store items.</p> </inline-html> </div> <div class="tensorsite-content__cta-wrapper"> <a class="tensorsite-content__cta tensorsite-content__cta-icon tensorsite-icon--external" href="https://www.youtube.com/watch?v=JQksipdQiGI" item-id="Grocery" rel="noopener noreferrer" tabindex="-1" target="_blank"> View the video <span> </span> </a> </div> </div> </div> <div class="tensorsite-card tensorsite-card--card"> <div class="tensorsite-content__image-wrapper"> <img alt class="tensorsite-content__image" src="/static/site-assets/images/marketing/resources/recommendation-systems/spotify-tensorflow-agents-recommendations.png"> </div> <div class="tensorsite-content tensorsite-content--under-image"> <a class="tensorsite-content__title" href="https://blog.tensorflow.org/2023/10/simulated-spotify-listening-experiences-reinforcement-learning-tensorflow-tf-agents.html" item-id="Audio streaming" rel="noopener noreferrer" target="_blank"> Audio streaming </a> <div class="tensorsite-content__description"> <inline-html> <p>Learn how Spotify leveraged the TensorFlow ecosystem to design an extendable offline simulator and train RL Agents to generate playlist recommendations.</p> </inline-html> </div> <div class="tensorsite-content__cta-wrapper"> <a class="tensorsite-content__cta tensorsite-content__cta-icon tensorsite-icon--external" href="https://blog.tensorflow.org/2023/10/simulated-spotify-listening-experiences-reinforcement-learning-tensorflow-tf-agents.html" item-id="Audio streaming" rel="noopener noreferrer" tabindex="-1" target="_blank"> Read the blog <span> </span> </a> </div> </div> </div> </div> </div> </section> <section class="tensorsite-footer 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