Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Analysis of recommendation algorithms for e-commerce
Proceedings of the 2nd ACM conference on Electronic commerce
Peer-to-peer based recommendations for mobile commerce
WMC '01 Proceedings of the 1st international workshop on Mobile commerce
Collaborative Filtering by Personality Diagnosis: A Hybrid Memory and Model-Based Approach
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Collaborative Filtering with Privacy
SP '02 Proceedings of the 2002 IEEE Symposium on Security and Privacy
Masks: Bringing Anonymity and Personalization Together
IEEE Security and Privacy
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
A survey of peer-to-peer content distribution technologies
ACM Computing Surveys (CSUR)
A new scheme on privacy-preserving data classification
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
A privacy-preserving collaborative filtering scheme with two-way communication
EC '06 Proceedings of the 7th ACM conference on Electronic commerce
Mediation of user models for enhanced personalization in recommender systems
User Modeling and User-Adapted Interaction
Cross-representation mediation of user models
User Modeling and User-Adapted Interaction
Probabilistic Association Rules for Item-Based Recommender Systems
Proceedings of the 2008 conference on STAIRS 2008: Proceedings of the Fourth Starting AI Researchers' Symposium
Preserving privacy in collaborative filtering through distributed aggregation of offline profiles
Proceedings of the third ACM conference on Recommender systems
Rate it again: increasing recommendation accuracy by user re-rating
Proceedings of the third ACM conference on Recommender systems
Privacy-preserving collaborative recommender systems
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A game theoretic framework for data privacy preservation in recommender systems
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part I
Pistis: A Privacy-Preserving Content Recommender System for Online Social Communities
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Recommendation in the end-to-end encrypted domain
Proceedings of the 20th ACM international conference on Information and knowledge management
YANA: an efficient privacy-preserving recommender system for online social communities
Proceedings of the 20th ACM international conference on Information and knowledge management
The tradeoffs of societal computing
Proceedings of the 10th SIGPLAN symposium on New ideas, new paradigms, and reflections on programming and software
The impact of data obfuscation on the accuracy of collaborative filtering
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
User profiling vs. accuracy in recommender system user experience
Proceedings of the International Working Conference on Advanced Visual Interfaces
Proceedings of the 34th International Conference on Software Engineering
User effort vs. accuracy in rating-based elicitation
Proceedings of the sixth ACM conference on Recommender systems
ACM Transactions on Interactive Intelligent Systems (TiiS) - Special issue on highlights of the decade in interactive intelligent systems
A comparison of clustering-based privacy-preserving collaborative filtering schemes
Applied Soft Computing
Differential privacy for neighborhood-based collaborative filtering
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Differential data analysis for recommender systems
Proceedings of the 7th ACM conference on Recommender systems
On the use of decentralization to enable privacy in web-scale recommendation services
Proceedings of the 12th ACM workshop on Workshop on privacy in the electronic society
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Collaborative Filtering (CF) is a powerful technique for generating personalized predictions. CF systems are typically based on a central storage of user profiles used for generating the recommendations. However, such centralized storage introduces a severe privacy breach, since the profiles may be accessed for purposes, possibly malicious, not related to the recommendation process. Recent researches proposed to protect the privacy of CF by distributing the profiles between multiple repositories and exchange only a subset of the profile data, which is useful for the recommendation. This work investigates how a decentralized distributed storage of user profiles combined with data modification techniques may mitigate some privacy issues. Results of experimental evaluation show that parts of the user profiles can be modified without hampering the accuracy of CF predictions. The experiments also indicate which parts of the user profiles are most useful for generating accurate CF predictions, while their exposure still keeps the essential privacy of the users.