Collaborative and content-based filtering for item recommendation on social bookmarking websites

CEUR Workshop Proceedings

Volumn 532, Issue , 2009, Pages 9-16

  Bogers, Toine ^a   Van Den Bosch, Antal ^a  

^a TILBURG UNIVERSITY   (Netherlands)

Author keywords

Collaborative filtering; Content based filtering; Folksonomies; Recommender systems; Social bookmarking

Indexed keywords

CONTENT BASED FILTERING; DIFFERENT DOMAINS; FOLKSONOMIES; ITEM SIMILARITY; LANGUAGE MODEL; NEAREST-NEIGHBORS; SIMILARITY METRICS; SOCIAL BOOKMARKING;

COLLABORATIVE FILTERING; COMPUTATIONAL LINGUISTICS; EXPERIMENTS; METADATA; RECOMMENDER SYSTEMS; WEBSITES;

SEMANTIC WEB;

EID: 84888332060     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (24)

1. J. Alspector, A. Koicz, and N. Karunanithi. Feature-based and Clique-based User Models for Movie Selection: A Comparative Study. User Modeling and User-Adapted Interaction, 7 (4):279-304, 1997.
2. S. Amer-Yahia, A. Galland, J. Stoyanovich, and C. Yu. From delicious to xquisite: Recommendations in Social Tagging Sites. In Proceedings of SIGMOD '08, pp. 1323-1326, New York, NY, USA, 2008. ACM.
3. C. Basu, H. Hirsh, and W. W. Cohen. Recommendation as Classification: Using Social and Content-Based Information in Recommendation. In Proceedings of the Fifteenth National Conference on Artificial Intelligence, pp. 714-720, 1998.
4. P. Baudisch. Joining Collaborative and Content-based Filtering. In Proceedings of the ACM CHI Workshop on Interacting with Recommender Systems. ACM Press, May 1999.
5. T. Bogers and A. Van den Bosch. Using Language Modeling for Spam Detection in Social Reference Manager Websites. In R. Aly, C. Hauff, I. den Hamer, D. Hiemstra, T. Huibers, and F. de Jong, editors, Proceedings of the 9th Belgian-Dutch Information Retrieval Workshop (DIR 2009), pp. 87-94, Enschede, February 2009.
6. J. S. Breese, D. Heckerman, and C. Kadie. Empirical Analysis of Predictive Algorithms for Collaborative Filtering. In Proceedings of the Fourteenth Annual Conference on Uncertainty in Artificial Intelligence, pp. 43-52, 1998.
7. R. Burke. Hybrid Recommender Systems: Survey and Experiments. User Modeling and User-Adapted Interaction, 12(4): 331-370, 2002.
8. M. Claypool, A. Gokhale, T. Miranda, P. Murnikov, D. Netes, and M. Sartin. Combining Content-Based and Collaborative Filters in an Online Newspaper. In Proceedings of ACM SIGIR Workshop on Recommender Systems, August 1999.
9. M. Clements, A. P. de Vries, and M. J. Reinders. Optimizing Single Term Queries using a Personalized Markov Random Walk over the Social Graph. In Proceedings of ESAIR '08, 2008.
10. J. L. Herlocker, J. A. Konstan, A. Borchers, and J. Riedl. An Algorithmic Framework for Performing Collaborative Filtering. In Proceedings of SIGIR '99:, pp. 230-237, New York, NY, USA, 1999. ACM.
11. J. L. Herlocker, J. A. Konstan, L. G. Terveen, and J. T. Riedl. Evaluating Collaborative Filtering Recommender Systems. ACM Transactions on Information Systems, 22(1):5-53, 2004.
12. A. Hotho, R. Jäschke, C. Schmitz, and G. Stumme. Information Retrieval in Folksonomies: Search and Ranking. In Proceedings of ESWC '06, 2006.
13. A. Hotho, R. Jäschke, C. Schmitz, and G. Stumme. BibSonomy: A Social Bookmark and Publication Sharing System. In Proceedings of the Conceptual Structures Tool Interoperability Workshop at ICCS 2006, pp. 87-102, 2006.
14. K. Lang. NewsWeeder: Learning to Filter Netnews. In Proceedings of ICML '95, pp. 331-339, San Mateo, CA, USA, 1995. Morgan Kaufmann.
15. R. J. Mooney and L. Roy. Content-Based Book Recommending Using Learning for Text Categorization. In Proceedings of DL '00, pp. 195-204, New York, NY, 2000. ACM Press.
16. R. Nakamoto, S. Nakajima, J. Miyazaki, and S. Uemura. Tag- Based Contextual Collaborative Filtering. In Proceedings of the 18th IEICE Data Engineering Workshop, 2007.
17. L. Page, S. Brin, R. Motwani, and T. Winograd. The PageRank Citation Ranking: Bringing Order to the Web. Technical report, Stanford Digital Library Technologies Project, 1998.
18. G. Salton and C. Buckley. Term-Weighting Approaches in Automatic Text Retrieval. Information Processing & Management, 24(5):513-523, 1988.
19. B. Sarwar, G. Karypis, J. Konstan, and J. Reidl. Item-Based Collaborative Filtering Recommendation Algorithms. In Proceedings of WWW '01, pp. 285-295, New York, NY, USA, 2001. ACM.
20. T. Strohman, D. Metzler, and W. B. Croft. Indri: A Language Model-based Search Engine for Complex Queries. In Proceedings of ICIA '05, May 2005.
21. P. Symeonidis, M. Ruxanda, A. Nanopoulos, and Y. Manolopoulos. Ternary Semantic Analysis of Social Tags for Personalized Music Recommendation. In Proceedings of ISMIR '08, pp. 219-224, 2008.
22. M. Szomszor, C. Cattuto, H. Alani, K. O'Hara, A. Baldassarri, V. Loreto, and V. D. Servedio. Folksonomies, the Semantic Web, and Movie Recommendation. In Proceedings of the ESWC Workshop on Bridging the Gap between Semantic Web and Web 2.0, 2007.
23. K. H. L. Tso-Sutter, L. B. Marinho, and L. Schmidt-Thieme. Tag-aware Recommender Systems by Fusion of Collaborative Filtering Algorithms. In Proceedings of SAC '08, pp. 1995-1999, New York, NY, 2008. ACM.
24. R. Wetzker, W. Umbrath, and A. Said. A Hybrid Approach to Item Recommendation in Folksonomies. In Proceedings of ESAIR '09, pages 25-29, New York, NY, USA, 2009. ACM.