Pistis: A privacy-preserving content recommender system for online social communities
With the explosive growth of online social communities and massive user-generated
content, privacy-preserving recommender systems, which identify information of interest to …
content, privacy-preserving recommender systems, which identify information of interest to …
YANA: an efficient privacy-preserving recommender system for online social communities
In online social communities, many recommender systems use collaborative filtering, a
method that makes recommendations based on what are liked by other users with similar …
method that makes recommendations based on what are liked by other users with similar …
Experimental demonstration of a hybrid privacy-preserving recommender system
Recommender systems enable merchants to assist customers in finding products that best
satisfy their needs. Unfortunately, current recommender systems suffer from various privacy …
satisfy their needs. Unfortunately, current recommender systems suffer from various privacy …
Privacy-preserving item-based collaborative filtering using semi-distributed belief propagation
Recommender systems are increasingly employed by e-commerce websites to suggest
items to users that meet their preferences. Collaborative Filtering (CF), as the most popular …
items to users that meet their preferences. Collaborative Filtering (CF), as the most popular …
Efficient privacy-preserving content recommendation for online social communities
In online social communities, many recommender systems use collaborative filtering, a
method that makes recommendations based on what are liked by other users with similar …
method that makes recommendations based on what are liked by other users with similar …
A practical system for privacy-preserving collaborative filtering
Collaborative filtering is a widely-used technique in online services to enhance the accuracy
of a recommender system. This technique, however, comes at the cost of users having to …
of a recommender system. This technique, however, comes at the cost of users having to …
Privacy-preserving social recommendations in geosocial networks
B Liu, U Hengartner - 2013 Eleventh Annual Conference on …, 2013 - ieeexplore.ieee.org
Geosocial networks like Foursquare have enabled people to conveniently share their
whereabouts with their friends online, such as sharing check-ins at visited venues. This …
whereabouts with their friends online, such as sharing check-ins at visited venues. This …
Towards efficient privacy-preserving collaborative recommender systems
J Zhan, IC Wang, CL Hsieh, TS Hsu… - 2008 IEEE …, 2008 - ieeexplore.ieee.org
Recommender systems use various types of information to help customers find products of
personalized interest. To increase the usefulness of recommender systems in certain …
personalized interest. To increase the usefulness of recommender systems in certain …
Privacy-preserving collaborative filtering using randomized perturbation techniques
Collaborative filtering (CF) techniques are becoming increasingly popular with the evolution
of the Internet. To conduct collaborative filtering, data from customers are needed. However …
of the Internet. To conduct collaborative filtering, data from customers are needed. However …
An improved profile-based CF scheme with privacy
Traditional collaborative filtering (CF) systems widely employing k-nearest neighbor (kNN)
algorithms mostly attempt to alleviate the contemporary problem of information overload by …
algorithms mostly attempt to alleviate the contemporary problem of information overload by …