An inference-based collaborative filtering approach

Proceedings - DASC 2007: Third IEEE International Symposium on Dependable, Autonomic and Secure Computing

Volumn , Issue , 2007, Pages 84-91

  Yang, Jin Min ^a   Li, Kin Fun ^b  

^a HUNAN UNIVERSITY   (China)

^b UNIVERSITY OF VICTORIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

DATA ACQUISITION; INFORMATION SYSTEMS; PROBLEM SOLVING;

COLLABORATIVE FILTERING; COMMON INTEREST GENRES; PUBLIC DATASEIS;

COMPUTER SUPPORTED COOPERATIVE WORK;

EID: 38049012822     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISDASC.2007.4351392     Document Type: Conference Paper

References (18)

1. R Resnick, N. lacovou, and M. Suchak et al., "Grouplens: an open architecture for collaborative filtering of netnews," Proc. of ACM CSCW, 1994.
2. G Linden, B. Smith, and J. York, "Amazon.com recommendations: Item-to-item collaborative filtering," IEEE Internet Computing, 2003, Jan/Feb: 76-80.
3. J. L. Herlocker, J. A. Konstan, and A Borchers et al., "An algorithmic framework for performing collaborative filtering," Proc. of ACM SIGIR'99, 1999.
4. A. Kohrs and B. Merialdo, "Clustering for collaborative filtering applications," Proc. of CIMCA'99, IOS Press, 1999.
5. M. Deshpande and G Karypis, "Item-based top-N recommendation algorithms," ACM Transactions on Information Systems, 2004, 22(1): 143-177.
6. B. Sarwar, G Karypis, and J. Konstan, "Analysis of recommendation algorithms for e-commerce," Proc. of ACM E-Commerce, New York. 2000.
7. J. S. Breese, D. Heckerman, and C. Kadie, 'Empirical analysis of predictive algorithms for collaborative filtering," Proc. of UAI, 1998.
8. B. Sarwar, G Karypis, and J. Konstan et al., "Item-based collaborative filtering recommendation algorithms," Proc. of the WWW Conference, 2001.
9. R Jin, J. Y Chai, and L. Si., "An automatic weighting scheme for collaborative filtering," Proc. of SIGIR, 2004.
10. J. Wang, A. R de Vries, and M. J. T Renders, "Unifying user-based and item-based collaborative filtering approaches by similarity fusion," Proc. of ACM SIGIR'06, 2006.
11. MovieLens. htto://www.grouplens.org/node/12. Nov. 2006.
12. htto://guir.berkeley.edu/projects/swami/, 2006.
13. G Xue, C. Lin, and Q. Yang et al., "Scalable collaborative filtering using cluster-based smoothing," Proc. of ACM SIGIR'05, 2005.
14. L. H Ungar and D. R Foster, "Clustering methods for collaborative filtering," Proc. Of Workshop on Recommendation Systems, AAAI Press, 1998.
15. Z. Huang, H Chen, and D. Zeng, "Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering," ACM Transactions on Information Systems, 2004, 22(1): 116-142.
16. T Hofman, "Latent semantic models for collaborative filtering," ACM Transactions on Information Systems, 2004, 22(1): 89-115.
17. R Jin, J. Y Chai, and L. Si, "An automatic weighting scheme for collaborative filtering," Proc. of SIGIR, 2004.
18. J. Wang, J. Pouwelse, and R L. Lagendijk et al., "Distributed collaborative filtering for peer-to-peer file sharing systems," Proc. of ACM SAC'06, 2006.