Description
Recommender systems are practically a necessity for keeping a site’s content current, useful, and interesting to visitors. Recommender systems are everywhere, helping you find everything from movies to jobs, restaurants to hospitals, even romance. Practical Recommender Systems goes behind the curtain to show readers how recommender systems work and, more importantly, how to create and apply them for their site. This hands-on guide covers scaling problems and other issues they may encounter as their site grows.
Key features
• A behind the scenes look at recommender systems
• Hands-on lessons
• Step-by-step guide
Audience
This book assumes you're comfortable reading code in Python and have some experience with databases.
About the Technology
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.
"synopsis" may belong to another edition of this title.
Kim Falk is a Data Scientist at Adform, where he is working on recommender systems. He has experience in providing recommendations for large entertainment companies and working with big data solutions.
"About this title" may belong to another edition of this title.
Seller: HPB-Red, Dallas, TX, U.S.A.
Paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_472282355
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Paperback. Condition: Very Good. First Edition. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Seller Inventory # 1617292702-11-1
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Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Paperback. Condition: Very Good. Key features A behind the scenes look at recommender systems Hands-on lessons Step-by-step guide Audience This book assumes you're comfortable reading code in Python and have some experience with databases. Seller Inventory # CIN1617292702VG
Seller: World of Books Inc, Montgomery, IL, U.S.A.
Paperback. Condition: Very Good. Key features A behind the scenes look at recommender systems Hands-on lessons Step-by-step guide Audience This book assumes you're comfortable reading code in Python and have some experience with databases. Seller Inventory # CIN1617292702VG
Seller: INDOO, Avenel, NJ, U.S.A.
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