Collaborative filtering with privacy via factor analysis

Keywords

Computer science, Collaborative filtering, Probabilistic logic, Factor (programming language), Information privacy

References

• Some Techniques for Privacy in Ubicomp and Context-Aware ApplicationsJohn Canny — 2002
• Diffusion of Innovations, Fourth EditionEverett M. Rogers — 1982
• Jester 2.0: Evaluation of an New Linear Time Collaborative Filtering Algorithm (poster abstract).Dhruv Gupta, Mark Digiovanni, Hiro Narita — 1999
• Learning from Incomplete DataSameer Agarwal — 2001
• Combining Content-Based and Collaborative Filters in an Online NewspaperMark Claypool, Anuja Gokhale, Tim Miranda — 1999
• Combining Collaborative Filtering with Personal Agents for Better RecommendationsNathaniel Good, J. Ben Schafer, Joseph A. Konstan — 1999
• Application of Dimensionality Reduction in Recommender System - A Case StudyBadrul Sarwar, George Karypis, Joseph A. Konstan — 2000
• The "Big Five" factor taxonomy: Dimensions of personality in the natural language and in questionnaires.Oliver P. John — 1990
• Diffusion of innovationsEverett M. Rogers, Arvind Singhal, Margaret M. Quinlan — 1964
• Jester 2.0 (poster abstract): evaluation of an new linear time collaborative filtering algorithmDhruv Gupta, Mark Digiovanni, Hiro Narita — 1999
• Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paperA. P. Dempster, N. M. Laird, Donald B. Rubin — 1977
• Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data EnvironmentsAlexandrin Popescul, Lyle Ungar, David M. Pennock — 2001
• OceanStore: an architecture for global-scale persistent storageJohn Kubiatowicz, David Bindel, Yan Chen — 2000
• Recommendation as Classification: Using Social and Content-Based Information in RecommendationChumki Basu, Haym Hirsh, William W. Cohen — 1998
• Collaborative filtering with privacyJohn Canny — 2002
• Empirical Analysis of Predictive Algorithms for Collaborative FilteringJohn S. Breese, David Heckerman, Carl Kadie — 1998
• An algorithmic framework for performing collaborative filteringJonathan L. Herlocker, Joseph A. Konstan, Al Borchers — 1999
• Collaborative Filtering by Personality Diagnosis: A Hybrid Memory and Model-Based ApproachDavid M. Pennock, Eric Horvitz, Steve Lawrence — 2000
• OceanStoreJohn Kubiatowicz, David Bindel, Yan Chen — 2000
• 28th Conference on Uncertainty in Artificial IntelligenceJilles Dibangoye, Christopher Amato, Arnaud Doniec — 2012

Cited by

• Goal-driven collaborative filteringTamas Jambor — 2013
• Efficient and Secure Collaborative Filtering through Intelligent Neighbour SelectionMichael P. O’Mahony, Neil Hurley, G.C.M. Silvestre — 2004
• Reexamination on Potential for Personalization in Web SearchDaren Li, Muyun Yang, Haoliang Qi — 2010
• Fusion d'informations pour l'indexation de photosS. Kharbouche, M. Plu, P. Vannoorenberghe — 2007
• Deriving Private Information from Randomly Perturbed RatingsSheng Zhang, James Ford, Fillia Makedon — 2006
• The New User Problem in Collaborative FilteringMatthew Stephen Crane — 2011
• A robust data obfuscation approach for privacy preserving collaborative filteringDouglas M. Blough, Rupa Parameswaran — 2006
• Trust-Based User ProfilingNima Dokoohaki — 2013
• A random-walk based scoring algorithm with application to recommender systems for large-scale e-commerceMarco Gori, Augusto Pucci — 2006
• COCoFil: une plateforme de filtrage collaboratif orientée vers la communautéNathalie Denos, Catherine Berrut, Lizbeth Gallardo-López — 2004
• Graphical Models and Overlay Networks for Reasoning about Large Distributed SystemsCentral South University National Clinical Research Center For Geriatric Disorders Xiangya Hospital, Joint Surgery Branch Of The Chinese Orthopedic Association — 2010
• Recommendations using Absorbing Random WalksAjit Singh, Asela Gunawardana, Christopher Meek — 2007
• ItemRank: A Random-Walk Based Scoring Algorithm for Recommender EnginesMarco Gori, Augusto Pucci — 2007
• Decentralizing news personalization systems. (Décentralisation des systèmes de personnalisation)Antoine Boutet — 2013
• Meeting user information needs in recommender systemsJoseph A. Konstan, Sean M. McNee — 2006
• Holistic Collaborative Privacy Framework for Users' Privacy in Social Recommender ServiceAhmed M. Elmisery, Seungmin Rho, Dmitri Botvich — 2014
• On Binary Similarity Measures for Privacy-preserving Top-N RecommendationsAlper Bilge, Cihan Kaleli, Hüseyin Polat — 2010
• Confidence Displays and Training in Recommender SystemsSean M. McNee, Shyong K. Lam, Catherine Guetzlaff — 2003
• Intelligent Algorithms in Ambient and Biomedical ComputingWim Verhaegh — 2006
• Some Techniques for Privacy in Ubicomp and Context-Aware ApplicationsJohn Canny — 2002

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