Design of a recommender system based on users’ behavior and collaborative location and tracking
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- 作者：Alberto Huertas Celdrá ; na ; alberto.huertas@um.es" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Manuel Gil Pé ; reza ; mgilperez@um.es" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Fé ; lix J. Garcí ; a Clementeb ; fgarcia@um.es" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Gregorio Martí ; nez Pé ; reza ; gregorio@um.es" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Recommender ; Location-based ; Collaborative ; Implicit ratings ; Users&rsquo ; behavior
- 刊名：Journal of Computational Science
- 出版年：2016
- 出版时间：January 2016
- 年：2016
- 卷：12
- 期：Complete
- 页码：83-94
- 全文大小：1922 K
文摘
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Recommender combining collaborative, content-based, and context-aware techniques.
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Automatic ratings considering the users’ movements after receiving recommendations.
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Minimize sparsity and cold-start drawbacks and provide most valuable recommendations.
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Avoid relying on users to rate recommendations.
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Experiments confirm the effectiveness and the efficiency of this proposal.