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Recommender systems handbook
This volume is a multi-disciplinary effort that involves world-wide experts from diverse fields, such as artificial intelligence, human computer interaction, information technology, data mining, statistics, adaptive user interfaces, decision support systems, marketing, and consu…
In making decisions, we often seek advice. Online, we check Amazon recommendations, eBay vendors' histories, TripAdvisor ratings, and even our elected representatives' voting records. These online reputation systems serve as filters for information overload. In this book, expert…
All aspects of recommender systems are covered in this title: the economic background, mechanism design, a survey of systems in the Internet, statistical methods and algorithms, service oriented architectures, user interfaces, as well as experiences and data from real-world appl…