Reliable Collaborative Filtering on Spatio-Temporal Privacy Data
نویسندگان
چکیده
منابع مشابه
Data Obfuscation for Privacy-Enhanced Collaborative Filtering
Collaborative Filtering (CF) is an attractive and reliable recommendation technique. CF is typically implemented using a centralized storage of user profiles and this is a severe privacy danger, since an attack to this central repository can endanger the quality of the recommendations and result in a leak of personal data. This work investigates how a decentralized distributed storage of user p...
متن کاملPrivacy-Enhanced Collaborative Filtering
Current implementations of the Collaborative Filtering (CF) algorithm are mostly centralized and the information about users (their profiles) is stored in a single server. Centralized storage poses a severe privacy hazard, since user profiles are fully under the control of the recommendation service providers. These profiles are available to other users upon request and are transferred over the...
متن کاملPrivacy-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 ...
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...
متن کاملP2P collaborative filtering with privacy
With the evolution of the Internet and e-commerce, collaborative filtering (CF) and privacy-preserving collaborative filtering (PPCF) have become popular. The goal in CF is to generate predictions with decent accuracy, efficiently. The main issue in PPCF, however, is achieving such a goal while preserving users’ privacy. Many implementations of CF and PPCF techniques proposed so far are central...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Security and Communication Networks
سال: 2017
ISSN: 1939-0114,1939-0122
DOI: 10.1155/2017/9127612