Statistical Methods For Recommender Systems
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Language: en
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Type: BOOK - Published: 2016-02-24 - Publisher: Cambridge University Press
Designing algorithms to recommend items such as news articles and movies to users is a challenging task in numerous web applications. The crux of the problem is
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Type: BOOK - Published: 2016-03-28 - Publisher: Springer
This book comprehensively covers the topic of recommender systems, which provide personalized recommendations of products or services to users based on their pr
Language: en
Pages: 101
Pages: 101
Type: BOOK - Published: 2017-01-29 - Publisher: Springer
This book presents the algorithms used to provide recommendations by exploiting matrix factorization and tensor decomposition techniques. It highlights well-kno
Language: en
Pages:
Pages:
Type: BOOK - Published: 2010-09-30 - Publisher: Cambridge University Press
In this age of information overload, people use a variety of strategies to make choices about what to buy, how to spend their leisure time, and even whom to dat
Language: en
Pages: 743
Pages: 743
Type: BOOK - Published: 2019-01-18 - Publisher: Simon and Schuster
Summary Online recommender systems help users find movies, jobs, restaurants-even romance! There's an art in combining statistics, demographics, and query terms