Fingerprinting ratings for collaborative filtering - Theoretical and empirical analysis

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

Volumn 6393 LNCS, Issue , 2010, Pages 25-36

  Bachrach, Yoram ^a   Herbrich, Ralf ^a  

^a MICROSOFT RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPLICATION SCENARIO; COLLABORATIVE FILTERING; COLLABORATIVE FILTERING SYSTEMS; DATA SETS; EMPIRICAL ANALYSIS; RANK CORRELATION; RANK CORRELATION COEFFICIENT; RECOMMENDER SYSTEMS; FINGERPRINTING METHODS; HIGH-ACCURACY; NETFLIX;

HASH FUNCTIONS; SIGNAL FILTERING AND PREDICTION; TOWERS; INFORMATION RETRIEVAL; RECOMMENDER SYSTEMS;

INFORMATION RETRIEVAL; COLLABORATIVE FILTERING;

EID: 78449303897     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-16321-0_3     Document Type: Conference Paper

References (24)

1. Achlioptas, D.: Database-friendly random projections: Johnson-Lindenstrauss with binary coins. JCSS 66 (2003)
2. Andoni, A., Indyk, P.: Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions. Commun. ACM 51(1), 117-122 (2008)
3. Bachrach, Y., Betzler, N., Faliszewski, P.: Probabilistic possible winner determination. AAAI 38 (2010)
4. Bachrach, Y., Markakis, E., Resnick, E., Procaccia, A.D., Rosenschein, J.S., Saberi, A.: Approximating power indices: theoretical and empirical analysis. Autonomous Agents and Multi-Agent Systems 20(2), 105-122 (2010)
5. Bachrach, Y., Parnes, A., Procaccia, A.D., Rosenschein, J.S.: Gossip-based aggregation of trust in decentralized reputation systems. Autonomous Agents and Multi-Agent Systems 19(2), 153-172 (2009)
6. Bachrach, Y., Herbrich, R., Porat, E.: Sketching algorithms for approximating rank correlations in collaborative filtering systems. In: Karlgren, J., Tarhio, J., Hyyrö, H. (eds.) SPIRE 2009. LNCS, vol. 5721, pp. 344-352. Springer, Heidelberg (2009)
7. Bachrach, Y., Porat, E., Rosenschein, J.S.: Sketching techniques for collaborative filtering. In: IJCAI 2009, Pasadena, California (July 2009)
8. Bell, R.M., Koren, Y.: Lessons from the netflix prize challenge. SIGKDD Explor. Newsl. 9(2), 75-79 (2007)
9. Breese, J.S., Heckerman, D., Kadie, C.: Empirical analysis of predictive algorithms for collaborative filtering. In: Proceedings of UAI 1998, pp. 43-52. Morgan Kaufmann, San Francisco (1998)
10. Broder, A.Z., Charikar, M., Frieze, A.M., Mitzenmacher, M.: Min-wise independent permutations. JCSS 60(3), 630-659 (2000)
11. Clifford, R., Efremenko, K., Porat, E., Rothschild, A.: K-mismatch with don't cares. In: Arge, L., Hoffmann, M., Welzl, E. (eds.) ESA 2007. LNCS, vol. 4698, pp. 151-162. Springer, Heidelberg (2007)
12. Cormode, G., Datar, M., Indyk, P., Muthukrishnan, S.: Comparing data streams using Hamming norms. IEEE Trans. Knowl. Data Eng. 15(3), 529-540 (2003)
13. Feigenbaum, J., Kannan, S., Strauss, M., Viswanathan, M.: An approximate L1-difference algorithm for massive data streams. SIAM J. Comput 32(1), 131-151 (2002)
14. Hemaspaandra, E., Spakowski, H., Vogel, J.: The complexity of Kemeny elections. Theoretical Computer Science 349(3), 382-391 (2005)
15. Higgins, J.J.: An introduction to modern nonparametric statistics. Thomson Learning (2004)
16. Hoeffding, W.: Probability inequalities for sums of bounded random variables. Journal of the American Statistical Association 58(301), 13-30 (1963)
17. Indyk, P.: A small approximately min-wise independent family of hash functions. Journal of Algorithms 38(1), 84-90 (2001)
18. Jusang, A., Ismail, R., Boyd, C.: A survey of trust and reputation systems for online service provision. Decision Support Systems 43(2), 618-644 (2007) (Pubitemid 46216533)
19. Kendall, M.G.: A new measure of rank correlation. Biometrika 30, 81-93 (1938)
20. Resnick, P., Iacovou, N., Suchak, M., Bergstorm, P., Riedl, J.: Grouplens: An open architecture for collaborative filtering of netnews. In: Proceedings of the ACM 1994 Conference on Computer Supported Cooperative Work, Chapel Hill, North Carolina, pp. 175-186. ACM, New York (1994)
21. Rivest, R.L.: The md5 message-digest algorithm (rfc 1321)
22. Shardan, U., Maes, P.: Social information filtering: Algorithms for automating "word of mouth". In: ACM CHI 1995, vol. 1, pp. 210-217 (1995)
23. Spearman, C.: The proof and measurement of association between two things 1904. The American Journal of Psychology 100(3-4), 441-471 (1987)
24. Weiss, Y., Torralba, A., Fergus, R.: Spectral hashing. In: Advances in Neural Processing Systems (2008)