Do you trust your recommendations? An exploration of security and privacy issues in recommender systems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3995 LNCS, Issue , 2006, Pages 14-29

  Lam, Shyong K ^a   Frankowski, Dan ^a   Riedl, John ^a  

^a UNIVERSITY OF MINNESOTA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMMUNICATION SYSTEMS; DATA PRIVACY; INFORMATION RETRIEVAL; INFORMATION USE; PROBLEM SOLVING; RESEARCH AND DEVELOPMENT MANAGEMENT;

INFORMATION OVERLOAD; PEER-TO-PEER RECOMMENDERS; RECOMMENDER SYSTEMS; SABOTAGE;

SECURITY OF DATA;

EID: 33746637971     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11766155_2     Document Type: Conference Paper

References (28)

1. Resnick, P., Iacovou, N., Suchak, M., Bergstrom, P., Riedl, J.: GroupLens: An open architecture for collaborative filtering of netnews. In: CSCW '94: Proceedings of the 1994 ACM Conference on Computer Supported Cooperative Work, Chapel Hill, North Carolina, United States, ACM Press (1994) 175-186
2. Sarwar, B., Karypis, G., Konstan, J., Riedl, J.: Item-based collaborative filtering recommendation algorithms. In: WWW '01: Proceedings of the 10th International Conference on World Wide Web, Hong Kong, ACM Press (2001) 285-295
3. Adomavicius, G., Tuzhilin, A.: Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering (2005) 734-749
4. Ackerman, M.S., Cranor, L.F., Reagle, J.: Privacy in e-commerce: Examining user scenarios and privacy preferences. In: ACM Conference on Electronic Commerce. (1999) 1-8
5. Ali, K., van Stam, W.: TiVo: Making show recommendations using a distributed collaborative filtering architecture. In: KDD '04: Knowledge Discovery and Data Mining Conference, Seattle, Washington, USA (2004) 394-401
6. Ramakrishnan, N., Keller, B.J., Mirza, B.J., Grama, A., Karypis, G.: Privacy risks in recommender systems. IEEE Internet Computing 5 (2001) 54-62
7. Lam, S.K., Riedl, J.: Privacy, shilling, and the value of information in recommender systems. In: Proceedings of User Modeling Workshop on Privacy-Enhanced Personalization. (2005) 85-92
8. Polat, H., Du, W.: Privacy-preserving collaborative filtering using randomized perturbation techniques. In: ICDM '03: Proceedings of the Third IEEE International Conference on Data Mining. (2003)
9. Berkovsky, S., Eytani, Y., Kuflik, T., Ricci, F.: Privacy-enhanced collaborative filtering. In: Proceedings of User Modeling Workshop on Privacy-Enhanced Personalization. (2005) 75-83
10. Sweeney, L.: k-Anonymity: A model for protecting privacy. International Journal on Uncertainty, Fuzziness and Knowledge-based Systems (2002) 557-570
11. Verykios, V.S., Bertino, E., Fovino, I.N., Provenza, L.P., Aygin, Y., Theodoridis, Y.: State-of-the-art in privacy preserving data mining. In: SIGMOD '05: Proceedings of the Conference on the Management of Data. (2005)
12. Pennock, D.M., Horvitz, E., Lawrence, S., Giles, C.L.: Collaborative filtering by personality diagnosis: A hybrid memory and model-based approach. In: UAI '00: Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence, Stanford, CA, Morgan Kaufmann Publishers Inc. (2000) 473-480
13. Rashid, A.M., Albert, I., Cosley, D., Lam, S.K., McNee, S., Konstan, J.A., Riedl, J.: Getting to know you: Learning new user preferences in recommender systems. In: Proceedings of the 2002 International Conference on Intelligent User Interfaces, San Francisco, CA (2002) 127-134
14. McNee, S.M., Lam, S.K., Konstan, J.A., Riedl, J.: Interfaces for eliciting new user preferences in recommender systems. In: User Modeling, Johnstown, PA, USA, Springer Verlag (2003) 178-187
15. Sarwar, B.M., Karypis, G., Konstan, J.A., Riedl, J.: Application of dimensionality reduction in recommender system - a case study. In: ACM WebKDD 2000 Web Mining for E-Commerce Workshop, Boston, MA, USA (2000)
16. Lam, S.K., Riedl, J.: Shilling recommender systems for fun and profit. In: WWW '04: Proceedings of the 13th International Conference on World Wide Web, New York, NY, USA, ACM Press (2004) 393-402
17. Burke, R., Mobasher, B., Zabicki, R., Bhaumik, R.: Identifying attack models for secure recommendation. In: ACM IUI Workshop: Beyond Personalization. (2005)
18. Douceur, J.: The Sybil attack. In: Proceedings of the 1st International Workshop on Peer-to-Peer Systems. (2002)
19. Dellarocas, C.: Immunizing online reputation reporting systems against unfair ratings and discriminatory behavior. In: ACM Conference on Electronic Commerce. (2000) 150-157
20. Kamvar, S.D., Schlosser, M.T., Garcia-Molina, H.: The Eigentrust algorithm for reputation management in P2P networks. In: WWW '03: Proceedings of the 12th International Conference on World Wide Web, New York, NY, USA, ACM Press (2003) 640-651
21. Friedman, E., Resnick, P.: The social cost of cheap pseudonyms. Journal of Economics and Management Strategy (1999)
22. O'Donovan, J., Smyth, B.: Is trust robust?: An analysis of trust-based recommendation. In: IUI '06: Proceedings of the 11th International Conference on Intelligent User Interfaces, New York, NY, USA, ACM Press (2006) 101-108
23. von Ahn, L., Blum, M., Hopper, N., Langford, J.: CAPTCHA: Using hard AI problems for security. In: Proceedings of Eurocrypt, 2003. (2003)
24. Canny, J.: Collaborative filtering with privacy via factor analysis. In: SIGIR '02: Proceedings of the 25th International ACM Conference on Research and Development in Information Retrieval, Tampere, Finland, ACM Press (2002) 238-245
25. Karypis, G.: Evaluation of item-based top-n recommendation algorithms. In: Proceedings of the 10th Conference of Information and Knowledge Management, (2001)
26. Miller, B.N., Konstan, J.A., Riedl, J.: Pocketlens: Toward a personal recommender system. ACM Transactions on Information Systems 22 (2004) 437-476
27. Clarke, I., Hong, T.W., Miller, S.G., Sandberg, O., Wiley, B.: Protecting free expression online with Preenet. IEEE Internet Computing (2002)
28. Stoica, I., Morris, R., Karger, D., Kaashoek, F., Balakrishnan, H.: Chord: A scalable Peer-To-Peer lookup service for internet applications. In: Proceedings of the 2001 ACM SIGCOMM Conference. (2001) 149-160