Language models & topic models for personalizing tag recommendation

Proceedings - 2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010

Volumn 1, Issue , 2010, Pages 82-89

  Krestel, Ralf ^a   Fankhauser, Peter ^b  

^a L3S RESEARCH CENTER   (Germany)

^b FRAUNHOFER IPSI   (Germany)

Author keywords

Clustering; Data mining; Personalization

Indexed keywords

CLUSTERING; DATA SETS; LANGUAGE MODEL; LATENT DIRICHLET ALLOCATION; MULTIMEDIA CONTENTS; PERSONALIZATIONS; PROBABILISTIC MODELS; SEARCH TECHNOLOGY; STATE-OF-THE-ART APPROACH; TAG RECOMMENDATIONS; TAGGING SYSTEMS; TEXT-BASED INFORMATION; TOPIC MODEL;

COMPUTATIONAL LINGUISTICS; DATA MINING; MODELS; MULTIMEDIA SYSTEMS; THESAURI;

INFORMATION RETRIEVAL;

EID: 78649818454     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WI-IAT.2010.29     Document Type: Conference Paper

References (27)

1. H. Halpin, V. Robu, and H. Shepherd, "The complex dynamics of collaborative tagging," in Proceedings of the 16th International Conference on World Wide Web (WWW 2007). ACM, 2007, pp. 211-220.
2. K. Bischoff, C. S. Firan, W. Nejdl, and R. Paiu, "Can all tags be used for search?" in CIKM '08: Proceeding of the 17th ACM conference on Information and knowledge management. New York, NY, USA: ACM, 2008, pp. 193-202.
3. S. A. Golder and B. A. Huberman, "The structure of collaborative tagging systems," CoRR, vol. abs/cs/0508082, 2005.
4. D. Bollen and H. Halpin, "An experimental analysis of suggestions in collaborative tagging," in 2009 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2009, Milan, Italy, 15-18 September 2009, Main Conference Proceedings. IEEE, 2009, pp. 108-115.
5. Y. Yang Song, L. Zhang, and C. L. Giles, "Automatic Tag Recommendation Algorithms for Social Recommender Systems," ACM Transactions on the Web, 2010.
6. A. Hotho, R. Jäschke, C. Schmitz, and G. Stumme, "Information retrieval in folksonomies: Search and ranking," in The Semantic Web: Research and Applications. Heidelberg, Germany: Springer, June 2006, pp. 411-426.
7. J. L. Herlocker, J. A. Konstan, L. G. Terveen, and J. T. Riedl, "Evaluating collaborative filtering recommender systems," ACM Trans. Inf. Syst., vol. 22, no. 1, pp. 5-53, 2004.
8. Z. Xu, Y. Fu, J. Mao, and D. Su, "Towards the semantic web: Collaborative tag suggestions," in Proceedings of Collaborative Web Tagging Workshop at 15th International World Wide Web Conference, 2006.
9. N. Garg and I. Weber, "Personalized, interactive tag recommendation for flickr," in RecSys '08: Proceedings of the 2008 ACM conference on Recommender systems. New York, NY, USA: ACM, 2008, pp. 67-74.
10. B. Sigurbjörnsson and R. van Zwol, "Flickr tag recommendation based on collective knowledge," in WWW '08: Proceeding of the 17th international conference on World Wide Web. New York, NY, USA: ACM, 2008, pp. 327-336.
11. R. Jäschke, L. B. Marinho, A. Hotho, L. Schmidt-Thieme, and G. Stumme, "Tag recommendations in folksonomies," in Proceedings of the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases. Heidelberg, Germany: Springer, 2007, pp. 506-514.
12. P. Symeonidis, A. Nanopoulos, and Y. Manolopoulos, "Tag recommendations based on tensor dimensionality reduction," in RecSys '08: Proceedings of the 2008 ACM conference on Recommender systems. New York, NY, USA: ACM, 2008, pp. 43-50.
13. S. Rendle and L. Schmidt-Thieme, "Pairwise interaction tensor factorization for personalized tag recommendation," in WSDM '10: Proceedings of the third ACM international conference on Web search and data mining. New York, NY, USA: ACM, 2010, pp. 81-90.
14. Y. Song, Z. Zhuang, H. Li, Q. Zhao, J. Li, W.-C. Lee, and C. L. Giles, "Real-time automatic tag recommendation," in SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval. New York, NY, USA: ACM, 2008, pp. 515-522.
15. P. Heymann, D. Ramage, and H. Garcia-Molina, "Social tag prediction," in SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval. New York, NY, USA: ACM, 2008, pp. 531-538.
16. R. Krestel, P. Fankhauser, and W. Nejdl, "Latent Dirichlet Allocation for Tag Recommendation," in RecSys '09: Proceedings of the third ACM conference on Recommender systems. New York, NY, USA: ACM, 2009, pp. 61-68.
17. X. Si and M. Sun, "Tag-lda for scalable real-time tag recommendation," Journal of Computational Information Systems, vol. 6, no. 1, pp. 23-31, January 2009.
18. R. Krestel and P. Fankhauser, "Tag recommendation using probabilistic topic models," in ECML/PKDD Discovery Challenge (DC'09), Workshop at ECML/PKDD 2009), F. Eisterlehner, A. Hotho, and R. Jäschke, Eds., Bled, Slovenia, September 7th 2009.
19. M. Bundschus, S. Yu, V. Tresp, A. Rettinger, M. Dejori, and H.-P. Kriegel, "Hierarchical bayesian models for collaborative tagging systems," in ICDM '09: Proceedings of the 2009 Ninth IEEE International Conference on Data Mining. Washington, DC, USA: IEEE Computer Society, 2009, pp. 728-733.
20. M. Harvey, M. Baillie, M. Carman, and I. Ruthven, "Tripartite hidden topic models for personalised tag suggestion," in Advances in Information Retrieval, 32nd European Conference on IR Research, ECIR 2010, 2010, to appear.
21. D. M. Blei, A. Y. Ng, and M. I. Jordan, "Latent dirichlet allocation," Journal of Machine Learning Research, vol. 3, pp. 993-1022, January 2003.
22. T. L. Griffiths and M. Steyvers, "Finding scientific topics." Proc Natl Acad Sci U S A, vol. 101 Suppl 1, pp. 5228-5235, April 2004.
23. S. Golder and B. A. Huberman, "Usage patterns of collaborative tagging systems," Journal of Information Science, vol. 32, no. 2, pp. 198-208, April 2006.
24. R. Wetzker, C. Zimmermann, and C. Bauckhage, "Analyzing Social Bookmarking Systems: A del.icio.us Cookbook," in Proceedings of the ECAI 2008 Mining Social Data Workshop, 2008, pp. 26-30.
25. V. Batagelj and M. Zaversnik, "Generalized cores," CoRR, vol. cs. DS/0202039, 2002.
26. L. Page, S. Brin, R. Motwani, and T. Winograd, "The pagerank citation ranking: Bringing order to the web," Stanford Digital Library Technologies Project, Tech. Rep., 1998.
27. Z. Gyöngyi, H. Garcia-Molina, and J. O. Pedersen, "Combating web spam with trustrank," in Proceedings of the Thirtieth International Conference on Very Large Data Bases, Toronto, Canada, August 31 - September 3 2004. Morgan Kaufmann, 2004, pp. 576-587.