| 書目名稱 | Recommender Systems Handbook | | 編輯 | Francesco Ricci,Lior Rokach,Paul B. Kantor | | 視頻video | http://file.papertrans.cn/825/824124/824124.mp4 | | 概述 | First comprehensive handbook which is dedicated entirely to the field of recommender systems.IT professionals that provides services and products to the end-customers via the Internet or other communi | | 圖書封面 |  | | 描述 | .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..Recommender Systems Handbook., an edited 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 consumer behavior. Theoreticiansand practitioners from these fields continually seek techniques for more efficient, cost-effective and accurate recommender systems. This handbook aims to impose a degree of order on this diversity, by presenting a | | 出版日期 | Book 20111st edition | | 關(guān)鍵詞 | Collaborative filtering; Content-based filtering; Information access; Personalization; currentsmp | | 版次 | 1 | | doi | https://doi.org/10.1007/978-0-387-85820-3 | | isbn_ebook | 978-0-387-85820-3 | | copyright | Springer-Science+Business Media, LLC 2011 |
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