A constrained spreading activation approach to collaborative filtering

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

Volumn 4253 LNAI - III, Issue , 2006, Pages 766-773

  Griffith, Josephine ^a   O'Riordan, Colm ^a   Sorensen, Humphrey ^b  

^a NATIONAL UNIVERSITY OF IRELAND   (Ireland)

^b UNIVERSITY COLLEGE CORK   (Ireland)

Author keywords

[No Author keywords available]

Indexed keywords

CONSTRAINT THEORY; CORRELATION METHODS; DATA PROCESSING; GRAPH THEORY; SIGNAL FILTERING AND PREDICTION;

COLLABORATIVE FILTERING; PEARSON CORRELATION; PROBLEM SPACE;

COMPUTER SUPPORTED COOPERATIVE WORK;

EID: 33750705969     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11893011_97     Document Type: Conference Paper

References (18)

1. C.C. Aggarwal, J.L. Wolf, K.-L. Wu, and P.S. Yu. Horting hatches an egg: A new graph-theoretic approach to collaborative filtering. In Proceedings of the Fifth ACM SIGKDD Conference, on Knowledge Discovery and Data Mining (KDD'99), San Diego, CA, pages 201-212, 1999.
2. M. Balabanovic and Y. Shoham. Fab: Content-based, collaborative recommendation. Communications of the ACM, 40(3):66-72, 1997.
3. C. Basu, H. Hirsh, and W. Cohen. Recommendation as classification: Using social and content-based information in recommendation. In Proceedings of the Fifteenth National Conference on Artificial Intelligence (AAAI-98), pages 714-721, 1998.
4. M.L. Calderon-Benavides, C.N. Gonzalez-Caro, J. Perez-Alcazar, J.C. Garcia-Diaz, and J. Delgado. A comparison of several predictive algorithms for collaborative filtering on multi-valued ratings. In Proceedings of the 2004 A CM Symposium on Applied Computing, pages 1033-1039, 2004.
5. P. Cohen and R. Kjeldsen. Information retrieval by constrained spreading activation on semantic networks. Information Processing and Management, 23(4): 255-268, 1987.
6. F. Crestani and P.L. Lee. Searching the web by constrained spreading activation. Information Processing and Management, 36:585-605, 2000.
7. W.B. Croft. Combining approaches to information retrieval. In Advances in Information Retrieval, pages 1-36. Kluwer Academic Publishers, 2000.
8. J.L. Herlocker. Understanding and Improving Automated Collaborative Filtering Systems. Phd thesis, University of Minnesota, 2000.
9. J.L. Herlocker, J.A. Konstan, L.G. Terveen, and J.T. Riedl. Evaluating collaborative filtering recommender systems. ACM Transactions on Information Systems (TOIS), 22:5-53, 2004.
10. Z. Huang, H. Chen, and D. Zeng. Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering. ACM Transactions on Information Systems, 22(1):116-142, 2004.
11. Z. Huang, W. Chung, and H. Chen. A graph model for e-commerce recommender systems. Journal of the American Society for Information Science and Technology, 55(3):259-274, 2004.
12. M.R. McLaughlin and J.L. Herlocker. A collaborative filtering algorithm and evaluation metric that accurately model the user experience. In Proceedings of the 27th International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 329-336, 2004.
13. B. Mirza, B. Keller, and N. Ramakrishnan. Studying recommendation algorithms by graph analysis. Journal of Intelligent Information Systems, 20:131-160, 2003.
14. C. O'Riordan and H. Sorensen. Multi-agent based collaborative filtering. In M. Klusch et al., editor, Cooperative Information Agents 99, Lecture Notes in Artificial Intelligence, 1999.
15. J. Palau, M. Montaner, and B. Lopez. Collaboration analysis in recommender systems using social networks. In Cooperative Information Agents VIII: 8th International Workshop, CIA 2004, pages 137-151, 2004.
16. M.F. Schwartz and C.M. Wood. Discovering shared interests using graph analysis. Communications of the ACM, 36:78-89, 1993.
17. U. Shardanand and P. Maes. Social information filtering: Algorithms for automating word of mouth. In Proceedings of the Annual ACM SIGCHI on Human Factors in Computing Systems (CHI '95), pages 210-217, 1995.
18. G.-R. Xue, S. Huang, Y. Y., H.-J. Zeng, Z. Chen, and W.-Y. Ma. Optimizing web search using spreading activation on the clickthrough data. In Proceedings of the 5th International Conference on Web Information Systems, 2004.