Collaborative filtering in social tagging systems based on joint item-tag recommendations

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2010, Pages 809-818

  Peng, Jing ^a   Zeng, Daniel ^a,b   Zhao, Huimin ^c   Wang, Fei Yue ^a  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b UNIVERSITY OF ARIZONA   (United States)

^c UNIVERSITY OF WISCONSIN MILWAUKEE   (United States)

Author keywords

Collaborative filtering; Explanation; Joint recommendation; Social tagging; Tagging structure

Indexed keywords

COLLABORATIVE FILTERING; EXPLANATION; JOINT RECOMMENDATION; SOCIAL TAGGING; TAGGING STRUCTURE;

KNOWLEDGE MANAGEMENT; SIGNAL FILTERING AND PREDICTION; THESAURI;

WORLD WIDE WEB;

EID: 78651264698     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1871437.1871541     Document Type: Conference Paper

References (24)

1. J. Peng and D. Zeng. Topic-based web page recommendation using tags. In Proceedings of the 2009 IEEE international conference on Intelligence and security informatics, 2009.
2. Z.-K. Zhang, T. Zhou, and Y.-C. Zhang. Personalized recommendation via integrated diffusion on user-item-tag tripartite graphs. Physica A: Statistical Mechanics and its Applications, 389(1): 179-186, 2010.
3. R. Wetzker, W. Umbrath, and A. Said. A hybrid approach to item recommendation infolksonomies. In Proceedings of the WSDM '09 Workshop on Exploiting Semantic Annotations in Information Retrieval, 2009.
4. Y. Zhen, W. Li, and D. Yeung. TagiCoFi: tag informed collaborative filtering. In RecSys '09: Proceedings of the third ACM conference on Recommender systems, 2009.
5. P. Symeonidis, A. Nanopoulos, and Y. Manolopoulos. A Unified Framework for Providing Recommendations in Social Tagging Systems Based on Ternary Semantic Analysis. IEEE Trans, on Knowl. and Data Eng., 22(2): 179-192, 2010.
6. L.D. Lathauwer, B.D. Moor, and J. Vandewalle. A Multilinear Singular Value Decomposition. SIAM J. Matrix Anal. Appl, 21(4): 1253-1278, 2000.
7. J.L. Herlocker, J.A. Konstan, and J. Riedl. Explaining collaborative filtering recommendations. In Proceedings of the 2000 ACM conference on Computer supported cooperative work, 2000.
8. D. Zeng and H. Li. How Useful Are Tags? - An Empirical Analysis of Collaborative Tagging for Web Page Recommendation. In Proceedings of the IEEE ISI2008 PAISI, PACCF, and SOCO international workshops on Intelligence and Security Informatics, 2008.
9. S. Zhao, N. Du, A. Nauerz, X. Zhang, Q. Yuan, and R. Fu. Improved recommendation based on collaborative tagging behaviors. In Proceedings of the 13 th international conference on Intelligent user interfaces, 2008.
10. 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 the ACM symposium on Applied computing, 2008.
11. S. Givon and V. Lavrenko. Predicting social-tags for cold start book recommendations. In Proceedings of the third ACM conference on Recommender systems, 2009.
12. D. Parra and P. Brusilovsky. Collaborative filtering for social tagging systems: an experiment with CiteULike. In Proceedings of the third ACM conference on Recommender systems, 2009.
13. S. Sen, J. Vig, and J. Riedl. Tagommenders: connecting users to items through tags. In Proceedings of the 18th international conference on World wide web, 2009.
14. J. Peng and D. Zeng. Exploring Information Hidden in Tags: A Subject-based Item Recommendation Approach. In Proceedings of 19th Workshop on Information Technologies and Systems, 2009.
15. H. Halpin, V. Robu, and H. Shepherd. The complex dynamics of collaborative tagging. In Proceedings of the 16th international conference on World Wide Web, 2007'.
16. S. Rendle, L.B. Marinho, A. Nanopoulos, and L. Schmidt-Thieme. Learning optimal ranking with tensor factorization for tag recommendation. In Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, 2009.
17. T.G. Kolda and B.W. Bader. Tensor Decompositions and Applications. SIAM Rev., 51(3): 455-500, 2009.
18. J. Peng and D. Zeng. Tag-based Smoothing for Item Recommendation. In Proceedings of the 2010 IEEE International Conference on Service Operations and Logistics, 2010.
19. Y. Koren. The BellKor Solution to the Netflix Grand Prize. 2009; Available from: http://www.netflixprize.com/assets/GrandPrize2009-BPC-BellKor. pdf
20. T.G. Kolda and J. Sun. Scalable Tensor Decompositions for Multi-aspect Data Mining. In Proceedings of the Eighth IEEE International Conference on Data Mining, 2008.
21. 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.
22. P.-N. Tan, V. Kumar, and J. Srivastava. Selecting the right interestingness measure for association patterns. In Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining, 2002.
23. B. Kitts, D. Freed, and M. Vrieze. Cross-sell: a fast promotion-tunable customer-item recommendation method based on conditionally independent probabilities. In Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000.
24. R. Jäschke, L. Marinho, A. Hotho, L. Schmidt-Thieme, and G. Stumme. Tag recommendations in social bookmarking systems. AI Communications, 21(4): 231-247, 2008.