Privacy-Preserving Collaborative Filtering Schemes With Sampling Users
نویسندگان
چکیده
منابع مشابه
Privacy-Preserving Collaborative Filtering
Collaborative filtering (CF) techniques are becoming very popular on the Internet and are widely used in several domains to cope with information overload. E-commerce sites use filtering systems to recommend products to customers based on the preferences of like-minded customers, but their systems do not protect user privacy. Because users concerned about privacy may give false information, it ...
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Privacy hazard to Web-based information services represents an important obstacle to the growth and diffusion of the personalized services. Data obfuscation methods were proposed for enhancing the users’ privacy in recommender systems based on collaborative filtering. Data obfuscation can provide statistically measurable privacy gains. However, these are measured using metrics that may not be n...
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E-commerce companies utilize collaborative filtering approaches to provide recommendations in order to attract customers. Consumer participation through supplying feedbacks is an important component for a recommendation system to produce accurate predictions. New companies in the marketplace might lack enough data for collaborative filtering purposes. Thus, they can come together to share their...
متن کاملShilling Attacks against Privacy-Preserving Collaborative Filtering
Although collaborative filtering with privacy schemes protect individual user privacy while still providing accurate recommendations, they might be subject to shilling attacks like traditional schemes without privacy. There are various studies focusing on either proposing privacypreserving collaborative filtering schemes or developing robust recommendation algorithms against shilling attacks. H...
متن کاملCollaborative Filtering with Privacy
Server-based collaborative filtering systems have been very successful in e-commerce and in direct recommendation applications. In future, they have many potential applications in ubiquitous computing settings. But today’s schemes have problems such as loss of privacy, favoring retail monopolies, and with hampering diffusion of innovations. We propose an alternative model in which users control...
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ژورنال
عنوان ژورنال: Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
سال: 2012
ISSN: 1347-7986,1881-7203
DOI: 10.3156/jsoft.24.753