SVD-based collaborative filtering with privacy

Proceedings of the ACM Symposium on Applied Computing

Volumn 1, Issue , 2005, Pages 791-795

  Polat, Huseyin ^a   Du, Wenliang ^a  

^a Syracuse University   (United States)

Author keywords

Collaborative filtering; Privacy; Randomization; SVD

Indexed keywords

COMPUTER SUPPORTED COOPERATIVE WORK; DATA PROCESSING; DATABASE SYSTEMS; INTERNET;

COLLABORATIVE FILTERING; PRIVACY; RANDOMIZATION; SVD;

FILTRATION;

EID: 33644514610     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1066677.1066860     Document Type: Conference Paper

References (14)

1. Anonymizer.com: http://www.anonymizer.com.
2. D. Agrawal and C. C. Aggarwal. On the design and quantification of privacy preserving data mining algorithms. In Proceedings of the 20th ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database System, Santa Barbara, CA, May 21-23 2001.
3. R. Agrawal and R. Srikant. Privacy-preserving data mining. In Proceedings of the 2000 ACM SIGMOD on Management of Data, pages 439-450, Dallas, TX, May 15-18 2000.
4. D. Billsus and M. J. Pazzani. Learning collaborative information niters. In Proceedings of the 1998 Workshop on Recommender Systems, August 1998.
5. J. Breese, D. Heckerman, and C. Kadie. Empirical analysis of predictive algorithms for collaborative filtering. In Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence, pages 43-52, Madison, WI, July 1998.
6. J. Canny. Collaborative filtering with privacy. In IEEE Symposium on Security and Privacy, pages 45-57, Oakland, CA, May 2002.
7. J. Canny. Collaborative filtering with privacy via factor analysis. In Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 238-245, Tampere, Finland, August 2002.
8. L. F. Cranor, J. Reagle, and M. S. Ackerman. Beyond concern: Understanding net users' attitudes about online privacy. Technical report, AT&T Labs-Research, April 1999. Available from http://www.research.att.com/ library/trs/TRs/99/99.4.3/report.htm.
9. D. Gupta, M. Digiovanni, H. Narita, and K. Goldberg. Jester 2.0: A new linear-time collaborative filtering algorithm applied to jokes. In Workshop on Recommender Systems Algorithms and Evaluation, 22nd International Conference on Research and Development in Information Retrieval, Berkeley, CA, 2000.
10. J. L. Herlocker, J. A. Konstan, A. Borchers, and J. T. Riedl. An algorithmic framework for performing collaborative filtering. In Proceedings of the 1999 Conference, on Research and Development in Information Retrieval, August 1999.
11. H. Polat and W. Du. Privacy-preserving collaborative filtering using randomized perturbation techniques. In Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM'03), Melbourne, FL, November 19-22 2003.
12. M. K. Reiter and A. D. Rubin. Crowds: Anonymity for Web transaction. ACM Transactions on Information and System Security, 1(1): Pages 66-92, 1998.
13. B. M. Sarwar, G. Karypis, J. A. Konstan, and J. T. Riedl. Application of dimensionality reduction in recommender system-a case study. In ACM WebKDD 2000 Web Mining for E-commerce Workshop, 2000.
14. A. F. Westin. Freebies and privacy. Technical report, Opinion Research Corporation, July 1999. Availabe from http://www.privacyexchange.org/iss/ surveys/sr990714.html.