Folksonomy-based ontological user interest profile modeling and its application in personalized search

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

Volumn 6335 LNCS, Issue , 2010, Pages 34-46

  Han, Xiaogang ^a   Shen, Zhiqi ^b   Miao, Chunyan ^a   Luo, Xudong ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Folksonomy; Ontology; User Interest Profile; User Modeling

Indexed keywords

DOMAIN ONTOLOGIES; FOLKSONOMIES; INFORMATION FILTERING SYSTEM; INFORMATION OVERLOADS; PERSONALIZED SEARCH; SEMANTIC LEVELS; STATE-OF-THE-ART APPROACH; USER INTEREST PROFILE; USER INTERESTS; USER MODELING; USERS' INTERESTS; WEB SEARCH ENGINES;

CLASSIFICATION (OF INFORMATION); INFORMATION RETRIEVAL; MATHEMATICAL MODELS; ONTOLOGY; SEARCH ENGINES; SEMANTICS; USER INTERFACES; WEBSITES;

SEMANTIC WEB;

EID: 78649821068     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15470-6_6     Document Type: Conference Paper

References (21)

1. Anand, S., Kearney, P., Shapcott, M.: Generating semantically enriched user pro- files for web personalization. ACM Transactions on Internet Technology, Article 22, 7(4) (2007)
2. Chirita, P., Costache, S., Nejdl, W., Handschuh, S.: P-tag: Large scale automatic generation of personalized annotation tags for the web. In: Proceedings of the 16th International Conference on World Wide Web, pp. 845-854 (2007)
3. Diederich, J., Iofciu, T.: Finding communities of practice from user profiles based on folksonomies. In: Proceedings of the 1st International Workshop on Building Technology Enhanced Learning solutions for Communities of Practice, pp. 288-297 (2006)
4. Ganesan, P., Garcia-Molina, H., Widom, J.: Exploiting hierarchical domain structure to compute similarity. ACM Transactions on Information Systems 21(1), 64-93 (2003)
5. Godoy, D., Amandi, A.: User profiling in personal information agents: A survey. Knowledge Engineering Review 20(4), 329-361 (2006)
6. Golder, S., Huberman, B.A.: The structure of collaborative tagging systems. Journal of Information Science 32(2), 198-208 (2005)
7. Hotho, A., Jaschke, R., Schmitz, C., Stumme, G.: Information retrieval in folksonomies: Search and ranking. In: The Semantic Web: Research and Applications, pp. 411-426 (2006)
8. Lieberman, H., et al.: Letizia: An agent that assists web browsing. In: Proceedings of International Joint Conference on Artificial Intelligence, vol. 14, pp. 924-929 (1995)
9. Ma, Z., Pant, G., Sheng, O.: Interest-based personalized search. ACM Transactions on Information Systems 25(1) (2007)
10. Michlmayr, E., Cayzer, S.: Learning user profiles from tagging data and leveraging them for personalized information access. In: Proceedings of the Workshop on Tagging and Metadata for Social Information Organization, 16th International World Wide Web Conference (2007)
11. Middleton, S., Shadbolt, N., De Roure, D.: Ontological user profiling in recommender systems. ACM Transactions on Information Systems 22(1), 54-88 (2004)
12. Mika, P.: Ontologies are us: A unified model of social networks and semantics. Web Semantics: Science, Services and Agents on the World Wide Web 5(1), 5-15 (2007)
13. Noll, M., Meinel, C.: Web search personalization via social bookmarking and tagging. In: Aberer, K., Choi, K.-S., Noy, N., Allemang, D., Lee, K.-I., Nixon, L.J.B., Golbeck, J., Mika, P., Maynard, D., Mizoguchi, R., Schreiber, G., Cudré-Mauroux, P. (eds.) ASWC 2007 and ISWC 2007. LNCS, vol. 4825, pp. 367-380. Springer, Heidelberg (2007)
14. Renda, M., Straccia, U.: Web metasearch: rank vs. score based rank aggregation methods. In: Proceedings of the 2003 ACM Symposium on Applied Computing, p. 846 (2003)
15. Shepitsen, A., Gemmell, J., Mobasher, B., Burke, R.: Personalized recommendation in social tagging systems using hierarchical clustering. In: Proceedings of the 2008 ACM Conference on Recommender Systems, pp. 259-266 (2008)
16. Sieg, A., Mobasher, B., Burke, R.:Web search personalization with ontological user profiles. In: Proceedings of the 16 ACM Conference on Information and Knowledge Management, pp. 525-534 (2007)
17. Szomszor, M., Alani, H., Cantador, I., O'Hara, K., Shadbolt, N.: Semantic modelling of user interests based on cross-folksonomy analysis. In: 7th International Semantic Web Conference, pp. 632-648 (2008)
18. Teevan, J., Dumais, S., Horvitz, E.: Personalizing search via automated analysis of interests and activities. In: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 449-456 (2005)
19. Vallet, D., Cantador, I., Joemon, M.: Personalizing web search with folksonomybased user and document profiles. In: Gurrin, C., He, Y., Kazai, G., Kruschwitz, U., Little, S., Roelleke, T., Rüger, S., van Rijsbergen, K. (eds.) Advances in Information Retrieval. LNCS, vol. 5993, pp. 420-431. Springer, Heidelberg (2010)
20. Xu, S., Bao, S., Fei, B., Su, Z., Yu, Y.: Exploring folksonomy for personalized search. In: Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 155-162 (2008)
21. Yeung, C., Gibbins, N., Shadbolt, N.: A study of user profile generation from folksonomies. In: Proceedings of the Workshop on Social Web and Knowledge Management (2008)