Privacy risks in recommender systems
نویسندگان
چکیده
منابع مشابه
Privacy Risks in Recommender Systems
R ecommender systems have become important tools in ecommerce. They combine one user’s ratings of products or services with ratings from other users to answer queries such as “Would I like X?” with predictions and suggestions. Users thus receive anonymous recommendations from people with similar tastes. While this process seems innocuous, it aggregates user preferences in ways analogous to stat...
متن کاملPrivacy Risks to Straddlers in Recommender Systems
We explore the conflict between personalization and privacy that arises from the existence of straddlers in a recommender system. A straddler is a person with eclectic tastes who rates products across several different types or domains. While straddlers enable serendipitous recommendations, information about their existence could be used in conjunction with other sources of data to uncover iden...
متن کاملPrivacy risks in recommender systems - Internet Computing, IEEE
R ecommender systems have become important tools in ecommerce. They combine one user’s ratings of products or services with ratings from other users to answer queries such as “Would I like X?” with predictions and suggestions. Users thus receive anonymous recommendations from people with similar tastes. While this process seems innocuous, it aggregates user preferences in ways analogous to stat...
متن کاملPrivacy in Recommender Systems
In many online applications, the range of content that is offered to users is so wide that a need for automated recommender systems arises. Such systems can provide a personalized selection of relevant items to users. In practice, this can help people find entertaining movies, boost sales through targeted advertisements, or help social network users meet new friends. To generate accurate person...
متن کاملControlling privacy in recommender systems
Recommender systems involve an inherent trade-off between accuracy of recommendations and the extent to which users are willing to release information about their preferences. In this paper, we explore a two-tiered notion of privacy where there is a small set of “public” users who are willing to share their preferences openly, and a large set of “private” users who require privacy guarantees. W...
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ژورنال
عنوان ژورنال: IEEE Internet Computing
سال: 2001
ISSN: 1089-7801
DOI: 10.1109/4236.968832