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

This book comprehensively covers the topic of recommender systems, which provide personalized recommendations of products or services to users based on their pr

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

This book presents the algorithms used to provide recommendations by exploiting matrix factorization and tensor decomposition techniques. It highlights well-kno

Summary Online recommender systems help users find movies, jobs, restaurants-even romance! There's an art in combining statistics, demographics, and query terms