Learning implicit user interests using ontology and search history for personalization

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

Volumn 4832 LNCS, Issue , 2007, Pages 325-336

  Daoud, Mariam ^a   Tamine, Lynda ^a   Boughanem, Mohand ^a   Chebaro, Bilal ^b  

^a IRIT   (France)

^b LEBANESE UNIVERSITY   (Lebanon)

Author keywords

Concept hierarchy; Personalized information retrieval; Search history; User's interests

Indexed keywords

CORRELATION METHODS; DYNAMIC PROGRAMMING; E-LEARNING; INFORMATION RETRIEVAL;

CONCEPT HIERARCHY; PERSONALIZED INFORMATION RETRIEVAL;

ONTOLOGY;

EID: 38149111161     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-77010-7_31     Document Type: Conference Paper

References (19)

1. Allan, J., et al.: Challenges in information retrieval and langage modelling. In: Workshop held at the center for intelligent information retrieval, Septembre (2002)
2. Budzik, J., Hammond, K.J.: Users interactions with everyday applications as context for just-in-time information access. In: Proceedings of the 5th international conference on intelligent user interfaces, pp. 41-51 (2000)
3. Challam, V., Gauch, S., Chandramouli, A.: Contextual Search Using OntologyBased User Profiles. In: Proceedings of RIAO 2007, Pittsburgh USA 30 may - 1 june (2007)
4. Ingwersen, P., Jarvelin, K.: Information Retrieval in Context - IRiX. In: ACM SIGIR forum (2005)
5. Kelly, D., Teevan, J.: mplicit feedback for inferring user preference: A bibliography. In: SIGIR Forum (2003)
6. Kim, H.R., Chan, P.K.: Learning implicit user interest hierarchy for context in personalization. In: Proceedings of the 8th international Conference on intelligent User interfaces IUI 2003, Miami Florida USA January 12 - 15 (2003)
7. Lieberman, H.: Letizia: An agent thatassists web browsing. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI 2005), Montreal pp. 924-929 (August 1995)
8. Lin, S.H., Shih, CS., Chen, M.C., Ho, J., Ko, M., Huang, Y.M.: Extracting classification knowledge of Internet documents with mining term-associations: A semantic approach. In: the 21th International SIGIR Conference on Research end Development in Information Retrieva (1998)
9. Liu, F., Yu, C., Meng, W.: Personalized Web Search For Improving Retrieval Effectiveness. IEEE Transactions on Knowledge and Data Engineering 16(1), 28-40 (2004)
10. Mc Gowan, J.P.: A multiple model approach to personalised information access. In: Master Thesis in computer science. Faculty of science, University College Dublin (February 2003)
11. Nunberg, G.: As Google goes, so goes the nation. New York times (2003)
12. Pazzani, M., Billsus, D.: Learning and revising user profiles. The identification of interesting Web sites, Machine learning 27, 313-331 (1997)
13. The Open Directory Project (ODP), http://www.dmoz.org
14. Fensel, D., Harmelen, F.V., Horrocks, I.D.: OIL: An Ontology Infrastructure for the Semantic Web. IEEE Intelligent Systems 16(2) (2001)
15. Rocchio, J.: Relevance feedback in information retrieval. In: Salton, G. (ed.) The SMART retrieval system - experiments in automated document processing, Prentice-Hall, Englewood Cliffs, NJ (1971)
16. Sieg, A., Mobasher, B., Burke, R., Prabu, G., Lytinen, S.: representing user information context with ontologies
17. Tamine, L., Boughanem, M., Zemirli, W.N.: Inferring the user's interests using the search history. In: Workshop on information retrieval, Learning, Knowledge and Adaptability (LWA 2006), ildesheim Germany November 9-11, pp. 108-110 (2006)
18. Vallet, D., Fernández, M., Castells, P., Mylonas, P., Avrithis, Y.: Personalized Information Retrieval in Context. In: Vallet, D. (ed.) 3rd International Workshop on Modeling and Retrieval of Context, Boston USA, pp. 16-17 (2006)
19. Lassila, O., Swick, R.: Resource Description Framework (RDF) Model and Syntax Specification. World Wide Web Consortium recommendation (February 22, 1999)