Enhancing privacy and preserving accuracy of a distributed collaborative filtering

RecSys'07: Proceedings of the 2007 ACM Conference on Recommender Systems

Volumn , Issue , 2007, Pages 97-104

  Berkvosky, Shlomo ^a   Eytani, Yaniv ^b   Kuflik, Tsvi ^a   Ricci, Francesco ^c  

^a UNIVERSITY OF HAIFA   (Israel)

^b UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^c FREE UNIVERSITY OF BOZEN BOLZANO   (Italy)

Author keywords

Collaborative filtering; Privacy; Recommender systems

Indexed keywords

DATA PRIVACY; USER INTERFACES;

COLLABORATIVE FILTERING; RECOMMENDATION PROCESS; RECOMMENDER SYSTEMS; USER PROFILES;

COMPUTER SUPPORTED COOPERATIVE WORK;

EID: 42149131542     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1297231.1297234     Document Type: Conference Paper

References (12)

1. K. Ali and W. van Stam. TiVo: Making show recommendations using a distributed collaborative filtering architecture. In Proceedings of the 2004 ACM SIGKDD international conference on Knowledge discovery and data mining, pages 394-401, New York, USA, August 2004. ACM Press.
2. nd International Conference on Adaptive Hypermedia and Adaptive Web Based Systems (AH'2002), volume 2347 of Lecture Notes in Computer Science, pages 58-67, Malaga, Spain, May 2002. Springer-Verlag Heidelberg.
3. th Conference on Uncertainty in Artificial Intelligence, pages 43-52, 1998.
4. th international conference on Intelligent user interfaces, pages 33-40, New York, NY, USA, 2001. ACM Press.
5. S. Gadanho. TV recommendations based on implicit information. In ECAI'06 workshop on Recommender Systems, 2006.
6. D. Kelly and J. Teevan. Implicit feedback for inferring user preference: a bibliography. SIGIR. Forum, 37(2):18-28, 2003.
7. M. Kim, J. Lim, K. Kang, and J. Kim. Agent-based intelligent multimedia broadcasting within mpeg-21 multimedia framework. ETRI Journal, 26(2):136-148, 2004.
8. th DELOS Workshop on Filtering and Collaborative Filtering, pages 31-36. ERCIM, 1998.
9. th Annual Meeting of the American Society for Information Science and Technology, pages 38-45, 2001.
10. D. O'Sullivan, B. Smyth, D. Wilson, K. M. Donald, and A. F. Smeaton. Interactive television personalisation. From guides to programmes. In Personalized Digital Television: Targeting Programs to Individual Viewers, volume 6 of Human- Computer Interaction Series, chapter 2, pages 73-91. Kluwer Academic Publishers, 2004.
11. B. Smyth and P. Cotter. Personalized electronic program guides for digital TV. AI Magazine, 22(2):89-98, 2001.
12. J. Zimmermana, K. Kurapati, A. L. Buczak, D. Schaffer, S. Gutta, and J. Martino. TV personalization system. Design of a TV show recommender engine and interface. In Personalized Digital Television: Targeting Programs to Individual Viewers, volume 6 of Human-Computer Interaction Series, chapter 2, pages 27-51. Kluwer Academic Publishers, 2004.