Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Communications of the ACM
Recommender systems in e-commerce
Proceedings of the 1st ACM conference on Electronic commerce
Collaborative filtering with privacy via factor analysis
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Information Filtering: Overview of Issues, Research and Systems
User Modeling and User-Adapted Interaction
k-anonymity: a model for protecting privacy
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
A practical approach to solve Secure Multi-party Computation problems
Proceedings of the 2002 workshop on New security paradigms
Privacy-Preserving Collaborative Filtering Using Randomized Perturbation Techniques
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
ACM Transactions on Information Systems (TOIS)
Privacy-preserving collaborative association rule mining
Journal of Network and Computer Applications
ACM Transactions on Information Systems (TOIS)
Enhancing privacy and preserving accuracy of a distributed collaborative filtering
Proceedings of the 2007 ACM conference on Recommender systems
Protocols for secure computations
SFCS '82 Proceedings of the 23rd Annual Symposium on Foundations of Computer Science
Preserving Privacy in Joining Recommender Systems
ISA '08 Proceedings of the 2008 International Conference on Information Security and Assurance (isa 2008)
Alambic: a privacy-preserving recommender system for electronic commerce
International Journal of Information Security
Toward empirical aspects of secure scalar product
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews - Special issue on information reuse and integration
Content-based recommendation systems
The adaptive web
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Privacy-preserving collaborative data mining
IEEE Computational Intelligence Magazine
Proceedings of the 9th ACM international symposium on Mobility management and wireless access
A literature review and classification of recommender systems research
Expert Systems with Applications: An International Journal
A privacy-protecting architecture for collaborative filtering via forgery and suppression of ratings
DPM'11 Proceedings of the 6th international conference, and 4th international conference on Data Privacy Management and Autonomous Spontaneus Security
Differential privacy for neighborhood-based collaborative filtering
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Reliable medical recommendation systems with patient privacy
ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers
DocCloud: A document recommender system on cloud computing with plausible deniability
Information Sciences: an International Journal
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Collaborative recommender systems use various types of information to help customers find products of personalized interest. To increase the usefulness of collaborative recommender systems in certain circumstances, it could be desirable to merge recommender system databases between companies, thus expanding the data pool. This can lead to privacy disclosure hazards during the merging process. This paper addresses how to avoid privacy disclosure in collaborative recommender systems by comparing withmajor cryptology approaches and constructing amore efficient privacy-preserving collaborative recommender system based on the scalar product protocol.