{"product_id":"practical-recommender-systems-9781617292705","title":"Practical Recommender Systems","description":"\u003cp\u003e • Author(s): Kim Falk\u003cbr\u003e • Publisher: Manning Publications\u003cbr\u003e • Publisher Imprint: Manning Publications\u003cbr\u003e • BISAC: Mathematical \u0026amp; Statistical Software\u003c\/p\u003e\u003cp\u003e\u003cb\u003eSummary\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eOnline recommender systems help users find movies, jobs, restaurants-even romance! There's an art in combining statistics, demographics, and query terms to achieve results that will delight them. Learn to build a recommender system the right way: it can make or break your application! \u003cp\u003e\u003c\/p\u003ePurchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eAbout the Technology\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003eRecommender systems are everywhere, helping you find everything from movies to jobs, restaurants to hospitals, even romance. Using behavioral and demographic data, these systems make predictions about what users will be most interested in at a particular time, resulting in high-quality, ordered, personalized suggestions. Recommender systems are practically a necessity for keeping your site content current, useful, and interesting to your visitors. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eAbout the Book\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e\u003ci\u003ePractical Recommender Systems\u003c\/i\u003e explains how recommender systems work and shows how to create and apply them for your site. After covering the basics, you'll see how to collect user data and produce personalized recommendations. You'll learn how to use the most popular recommendation algorithms and see examples of them in action on sites like Amazon and Netflix. Finally, the book covers scaling problems and other issues you'll encounter as your site grows. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eWhat's inside\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eHow to collect and understand user behavior\u003c\/li\u003e\n\u003cli\u003eCollaborative and content-based filtering\u003c\/li\u003e\n\u003cli\u003eMachine learning algorithms \u003c\/li\u003e\n\u003cli\u003eReal-world examples in Python\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cb\u003eAbout the Reader\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003eReaders need intermediate programming and database skills. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e\u003cb\u003eKim Falk\u003c\/b\u003e is an experienced data scientist who works daily with machine learning and recommender systems. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e\u003col\u003ePART 1 - GETTING READY FOR RECOMMENDER SYSTEMS\u003cli\u003eWhat is a recommender? \u003c\/li\u003e\n\u003cli\u003eUser behavior and how to collect it \u003c\/li\u003e\n\u003cli\u003eMonitoring the system \u003c\/li\u003e\n\u003cli\u003eRatings and how to calculate them\u003c\/li\u003e\n\u003cli\u003eNon-personalized recommendations\u003c\/li\u003e\n\u003cli\u003eThe user (and content) who came in from the cold\u003c\/li\u003ePART 2 - RECOMMENDER ALGORITHMS\u003cli\u003eFinding similarities among users and among content\u003c\/li\u003e\n\u003cli\u003eCollaborative filtering in the neighborhood\u003c\/li\u003e\n\u003cli\u003eEvaluating and testing your recommender\u003c\/li\u003e\n\u003cli\u003eContent-based filtering\u003c\/li\u003e\n\u003cli\u003eFinding hidden genres with matrix factorization\u003c\/li\u003e\n\u003cli\u003eTaking the best of all algorithms: implementing hybrid recommenders\u003c\/li\u003e\n\u003cli\u003eRanking and learning to rank\u003c\/li\u003e\n\u003cli\u003eFuture of recommender systems\u003c\/li\u003e\n\u003c\/ol\u003e","brand":"Manning Publications","offers":[{"title":"Paperback","offer_id":47573745467543,"sku":"9781617292705","price":5224.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781617292705.webp?v=1774893663","url":"https:\/\/atlanticbooks.com\/products\/practical-recommender-systems-9781617292705","provider":"Atlantic Books","version":"1.0","type":"link"}