Applying SVD on item-based filtering

Proceedings - 5th International Conference on Intelligent Systems Design and Applications 2005, ISDA '05

Volumn 2005, Issue , 2005, Pages 464-469

  Vozalis, Manolis G ^a   Margaritis, Konstantinos G ^a  

^a UNIVERSITY OF MACEDONIA   (Greece)

Author keywords

Item based collaborative filtering; Personalization; Recommender systems; Singular Value Decomposition (SVD)

Indexed keywords

ALGORITHMS; COMPUTER PROGRAMMING; PARAMETER ESTIMATION; PROBLEM SOLVING; SIGNAL FILTERING AND PREDICTION;

ITEM BASED COLLABORATIVE FILTERING; PERSONALIZATION; RECOMMENDER SYSTEMS; SINGULAR VALUE DECOMPOSITION (SVD);

MATRIX ALGEBRA;

EID: 33846941595     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISDA.2005.25     Document Type: Conference Paper

References (13)

1. M. W. Berry, S. T. Dumais, and G. W. O'Brien. Using linear algebra for intelligent information retrieval. SIAM Review, 37:573-595, 1995.
2. D. Billsus and M. J. Pazzani. Learning collaborative information filters. In 15th International Conference on Machine Learning, Madison, WI, 1998.
3. M. Claypool, A. Gokhale, T. Miranda, P. Murnikov, D. Netes, and M. Sartin. Combining content-based and collaborative filters in an online newspaper. In ACM SIGIR Workshop on Recommender Systems-Implementation and Evaluation, Berkeley, CA, 1999.
4. S. Deerwester, S. T. Dumais, G. W. Furnas, T. K. Landauer, and R. Harshman. Indexing by latent semantic analysis. Journal of the American Society for Information Science, 41(6):391-407, 1990.
5. K. Goldberg, T. Roeder, D. Gupta, and C. Perkins. Eigentaste: A constant time collaborative filtering algorithm. Information Retrieval Journal, 4:133-151, 2001.
6. J. L. Herlocker, J. A. Konstan, L. G. Terveen, and J. T. Riedl. Evaluating collaborative filtering recommender systems. ACM Transactions on Information Systems, 22:5-53, 2004.
7. P. Melville, R. J. Mooney, and R. Nagarajan. Content-boosted collaborative filtering. In ACM SIGIR Workshop on Recommender Systems, New Orleans, LA, 2001.
8. B. Sarwar, G. Karypis, J. Konstan, and J. Riedl. Incremental singular value decomposition algorithms for highly scalable recommender systems. In Fifth International Conference on Computer and Information Technology (ICCIT 2002), 2002.
9. B. M. Sarwar. Sparsity, Scalability, and Distribution in Recommender Systems. PhD thesis, University of Minnesota, 2001.
10. B. M. Sarwar, G. Karypis, J. A. Konstan, and J. T. Riedl. Analysis of recommendation algorithms for ecommerce. In Electronic Commerce, 2000.
11. B. M. Sarwar, G. Karypis, J. A. Konstan, and J. T. Riedl. Item-based collaborative filtering recommendation algorithms. In 10th International World Wide Web Conference (WWW10), Hong Kong, 2001.
12. E. G. Vozalis and K. G. Margaritis. Recommender systems: An experimental comparison of two filtering algorithms. In Proceedings of the 9th Panhellenic Conference in Informatics - PCI 2003, 2003.
13. M. Vozalis and K. G. Margaritis. Enhancing collaborative filtering with demographid data: The case of item-based filtering. In Proceedings of the fourth IEEE International Conference on Intelligent Systems Design and Applications, Budapest, Hungary, 2004.