Publication:
Recommender Systems Handbook
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Abstract
The explosive growth of e-commerce and online environments has made the issue of information search and selection increasingly serious; users are overloaded by options to consider and they may not have the time or knowledge to personally evaluate these options. Recommender systems have proven to be a valuable way for online users to cope with the information overload and have become one of the most powerful and popular tools in electronic commerce. Correspondingly, various techniques for recommendation generation have been proposed. During the last decade, many of them have also been successfully deployed in commercial environments.
Description
Authors
Ricci, Francesco
Rokach, Lior
Shapira, Bracha
Kantor, Paul B.
Alternate Authors
Advisor
Place of publication
New York
Publisher
Springer
Date
2011
Journal ISSN
Volume Title
Keywords
Recommender systems , Information filtering , Artificial Intelligence , E-Commerce , Database Administration & Management , Data Analytics , System Administration , Storage & Retrieval
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