Can user privacy and recommendation performance be preserved simultaneously?
نویسندگان
چکیده
منابع مشابه
Can user privacy and recommendation performance be preserved simultaneously?
In online systems of videos, music or books, users’ behaviors are disclosed to the recommender systems to learn their interests. Such a disclosure raises a serious concern in the public for the leak of users’ privacy. Meanwhile, some algorithms are proposed to obfuscate users’ historical behavior records to protect users’ privacy, at the cost of degradation of recommendation accuracy. It is a c...
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ژورنال
عنوان ژورنال: Computer Communications
سال: 2015
ISSN: 0140-3664
DOI: 10.1016/j.comcom.2015.06.013