Personalized topic-based tag recommendation

Neurocomputing

Volumn 76, Issue 1, 2012, Pages 61-70

  Krestel, Ralf ^a   Fankhauser, Peter ^b  

^a L3S RESEARCH CENTER   (Germany)

^b GERMAN RESEARCH CENTER FOR ARTIFICIAL INTELLIGENCE DFKI   (Germany)

Author keywords

Language models; Personalization; Tag recommendation; Topic models

Indexed keywords

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

COMPUTATIONAL LINGUISTICS; INFORMATION RETRIEVAL; MODELS; MULTIMEDIA SYSTEMS; SEARCH ENGINES; THESAURI;

USER INTERFACES;

ALGORITHM; ARTICLE; INFORMATION PROCESSING; INFORMATION RETRIEVAL; INFORMATION TECHNOLOGY; INTERNET; LANGUAGE MODEL; LATENT DIRICHLET ALLOCATION; PERSONALIZED TAG RECOMMENDATION; PRIORITY JOURNAL; PROBABILITY; TAG RECOMMENDATION ALGORITHM; TAGGING SYSTEM;

EID: 80555123070     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.04.034     Document Type: Article

References (33)

1. Halpin H., Robu V., Shepherd H. The complex dynamics of collaborative tagging. Proceedings of the 16th International Conference on World Wide Web (WWW 2007) 2007, 211-220. ACM.
2. Bischoff K., Firan C.S., Nejdl W., Paiu R. Can all tags be used for search. CIKM '08: Proceeding of the 17th ACM Conference on Information and Knowledge Management 2008, 193-202. ACM, New York, NY, USA.
3. S.A. Golder, B.A. Huberman, The structure of collaborative tagging systems, CoRR abs/cs/0508082, 2005.
4. Bollen D., Halpin H. An experimental analysis of suggestions in collaborative tagging. Main Conference Proceedings of 2009 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2009, Milan, Italy, 15-18 September 2009 2009, 108-115. IEEE.
5. Yang Song Y., Zhang L., Giles C.L. Automatic tag recommendation algorithms for social recommender systems. ACM Transactions on the Web 2011, 5(1):4:1-4:31.
6. Hotho A., Jäschke R., Schmitz C., Stumme G. Information retrieval in folksonomies: Search and ranking. The Semantic Web: Research and Applications 2006, 411-426. Springer, Heidelberg, Germany.
7. F. Eisterlehner, A. Hotho, R. Jäschke (Eds.), ECML PKDD Discovery Challenge 2009 (DC09), CEUR-WS.org, vol. 497, 2009.
8. Herlocker J.L., Konstan J.A., Terveen L.G., Riedl J.T. Evaluating collaborative filtering recommender systems. ACM Transactions on Information Systems 2004, 22:5-53.
9. Mishne G. Autotag: a collaborative approach to automated tag assignment for weblog posts. WWW '06 Proceedings of the 15th International Conference on World Wide Web 2006, 953-954. ACM, New York, NY, USA.
10. Chirita P.A., Costache S., Nejdl W., Handschuh S. P-tag: large scale automatic generation of personalized annotation tags for the web. WWW '07, Proceedings of the 16th International Conference on World Wide Web 2007, 845-854. ACM, New York, NY, USA.
11. Jäschke R., Marinho L.B., Hotho A., Schmidt-Thieme L., Stumme G. Tag recommendations in folksonomies. Proceedings of the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases 2007, 506-514. Springer, Heidelberg, Germany.
12. Z. Xu, Y. Fu, J. Mao, D. Su, Towards the semantic web: collaborative tag suggestions, in: Proceedings of Collaborative Web Tagging Workshop at 15th International World Wide Web Conference, 2006.
13. Garg N., Weber I. Personalized, interactive tag recommendation for Flickr. RecSys '08: Proceedings of the 2008 ACM Conference on Recommender Systems 2008, 67-74. ACM, New York, NY, USA.
14. Sigurbjörnsson B., van Zwol R. Flickr tag recommendation based on collective knowledge. WWW '08: Proceeding of the 17th International Conference on World Wide Web 2008, 327-336. ACM, New York, NY, USA.
15. Heymann P., Ramage D., Garcia-Molina H. Social tag prediction. SIGIR '08: Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2008, 531-538. ACM, New York, NY, USA.
16. Krestel R., Fankhauser P., Nejdl W. Latent Dirichlet allocation for tag recommendation. RecSys '09: Proceedings of the Third ACM Conference on Recommender Systems 2009, 61-68. ACM, New York, NY, USA.
17. Wetzker R., Zimmermann C., Bauckhage C., Albayrak S. I tag, you tag: translating tags for advanced user models. WSDM '10: Proceedings of the Third ACM International Conference on Web Search and Data Mining 2010, 71-80. ACM, New York, NY, USA.
18. Symeonidis P., Nanopoulos A., Manolopoulos Y. Tag recommendations based on tensor dimensionality reduction. RecSys '08: Proceedings of the 2008 ACM Conference on Recommender Systems 2008, 43-50. ACM, New York, NY, USA.
19. Rendle S., Schmidt-Thieme L. Pairwise interaction tensor factorization for personalized tag recommendation. WSDM '10: Proceedings of the Third ACM International Conference on Web Search and Data Mining 2010, 81-90. ACM, New York, NY, USA.
20. Song Y., Zhuang Z., Li H., Zhao Q., Li J., Lee W.-C., Giles C.L. Real-time automatic tag recommendation. SIGIR '08: Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2008, 515-522. ACM, New York, NY, USA.
21. Si X., Sun M. Tag-LDA for scalable real-time tag recommendation. Journal of Computational Information Systems 2009, 6:23-31.
22. R. Krestel, P. Fankhauser, Tag recommendation using probabilistic topic models, in: F. Eisterlehner, A. Hotho, R. Jäschke (Eds.), ECML/PKDD, Discovery Challenge (DC'09) Workshop at ECML/PKDD 2009, Bled, Slovenia, pp. 131-141.
23. Bundschus M., Yu S., Tresp V., Rettinger A., Dejori M., Kriegel H.-P. Hierarchical Bayesian models for collaborative tagging systems. ICDM '09: Proceedings of the 2009 Ninth IEEE International Conference on Data Mining 2009, 728-733. IEEE Computer Society, Washington, DC, USA.
24. Harvey M., Baillie M., Ruthven I., Carman M.J. Tripartite hidden topic models for personalised tag suggestion. Advances in Information Retrieval, Proceedings of the 32nd European Conference on IR Research, ECIR 2010, Milton Keynes, UK, March 28-31, 2010, Lecture Notes in Computer Science 2010, vol. 5993:432-443. Springer.
25. Blei D.M., Ng A.Y., Jordan M.I. Latent Dirichlet allocation. Journal of Machine Learning Research 2003, 3:993-1022.
26. Griffiths T.L., Steyvers M. Finding scientific topics. Proceedings of the National Academy of Science USA 2004, 101(Suppl 1):5228-5235.
27. Yao L., Mimno D., McCallum A. Efficient methods for topic model inference on streaming document collections. KDD '09: Proceedings of the 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2009, 937-946. ACM, New York, NY, USA.
28. Golder S., Huberman B.A. Usage patterns of collaborative tagging systems. Journal of Information Science 2006, 32:198-208.
29. R. Wetzker, C. Zimmermann, C. Bauckhage, Analyzing social bookmarking systems: A del.icio.us Cookbook, in: Proceedings of the ECAI 2008 Mining Social Data Workshop, pp. 26-30.
30. V. Batagelj, M. Zaversnik, Generalized cores, CoRR cs.DS/0202039, 2002.
31. L. Page, S. Brin, R. Motwani, T. Winograd, The PageRank Citation Ranking: Bringing Order to the Web, Technical Report, Stanford Digital Library Technologies Project, 1998.
32. Gyöngyi Z., Garcia-Molina H., Pedersen J.O. Combating web spam with trustrank. Proceedings of the 13th International Conference on Very Large Data Bases, Toronto, Canada, August 31-September 3 2004 2004, 576-587. Morgan Kaufmann.
33. Lipczak M., Milios E. The impact of resource title on tags in collaborative tagging systems. HT '10: Proceedings of the 21st ACM conference on Hypertext and Hypermedia 2010, 179-188. ACM, New York, NY, USA.