Can user privacy and recommendation performance be preserved simultaneously?
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- 作者：Tingting Feng ; 11111022@bjtu.edu.cn" class="auth_mail" title="E-mail the corresponding author ; tt06274031@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Yuchun Guo ychguo@bjtu.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Yishuai Chen yschen@bjtu.edu.cn" class="auth_mail" title="E-mail the corresponding author
- 关键词：Privacy protection ; Balance precision ; Similarity metric ; Recommendation
- 刊名：Computer Communications
- 出版年：2015
- 出版时间：1 September 2015
- 年：2015
- 卷：68
- 期：Complete
- 页码：17-24
- 全文大小：508 K
文摘
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Preserve privacy without loss of recommendation accuracy.
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Add factitious ratings to blur the privacy but intensify interests.
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Propose a new similarity metric of ratings.
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