Abstract
Search Engines of today have evolved from generic ones that find matches based on keywords, to those that provide personalized search based on concepts specified explicitly by the users. In this paper we present an approach to build dynamic user model for personalized search based on the user’s browsing history using Open Directory Project Concept hierarchy that not only learns user’s interest implicitly, but also tracks the temporal evolution and digression of their interests and modifies their profile accordingly.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Challam, V.: Contextual information retrieval using ontology based user profiles. University of Kansas (2004)
Devanand, R.: KeyConcept: Exploiting hierarchical relationships for conceptually indexed data. Master’s thesis. Department of Electrical Engineering and Computer Science, University of Kansas, Kansas, USA (2004)
Dumais, S.T., Cutrell, E., Cadiz, J.J., Jancke, G., Sarin, R., Robbins, D.C.: A system for personal information retrieval and re-use. Proceedings of SIGIR (2003)
Widyantoro, D.H., Ioerger, T.R., Yen, J.: Learning User Interest Dynamics with a Three-Descriptor Representation. Journal of the American Society for Information Science, 52(3) (2000) 212–225
Sebastiani, F.: Machine Learning in Automated Text Categorization. In ACM Computing Surveys 34(1) (2002) pp. 1–47
Gauch, S., Chafee, J., Pretschner, A.: Ontology Based Personalized Search and Browsing, Web Intelligence and Agent Systems. Vol. 1 No. 3–4, April (2004) pp.219–234.
Guarino, N., Masolo, C., Vetere, G.: OntoSeek: Content Based Access to the web. IEEE Intelligent System. Volume 14, no. 3, (1999) pp. 70–80.
Bengel, J., Gauch, S., Mittur, E., Vijayaraghavan, R.: ChatTrack: Chat Room Topic Detection Using Classification. University of Kansas (2004)
Chaffee, J., Gauch, S.: Personal Ontologies for Web Navigation. In proceedings of the 9th International Conference on Information and Knowledge Management (CIKM), 2000, pp 227–234.
Shavlik, J., Calcari, S., Eliassi-Rad, T., Solock, J.: An Instructable, Adaptive Interface for Discovering and Monitoring Information on the World Wide Web. Proceedings of the International Conference on Intelligent User Interfaces (1999) pp. 157–160.
Leake, D., Scherle, R., Budzik, J., Hammond, K. Selecting Task Relevant Sources for Just-in-Time Retrieval. In Proceedings of the AAAI-99 Workshop on Intelligent Information Systems. AAAI Press, Menlo Park, CA (1999)
The Open Directory Project (ODP). http://dmoz.org.
Decker, S., Erdmann, M., Fensel, D., Studer, R.: Ontobroker: Ontology based Access to Distributed and Semi Structured Information. Proceedings of W3C Query Language Workshop QL’98. (1998)
Speretta, M.: Personalizing Search Based on User Search Histories. Master’s thesis, The University of Kansas, Lawrence, KS (2004).
Trajkova, J., Gauch, S.: Improving Ontology Based User Profiles. RIAO, Vaucluse, France, April 26–28 (2004) pp. 380–389.
Yang, Y., Zhang, J., Kisiel, B.: A scalability analysis of classifiers in text categorization. In Proceedings of 26th Annual International ACM SIGIR Conference, July to Auguest (2003), pp 96–103.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Thenmozhi, D., Annapoorani, G., Baskaran, K., Kumar, S. (2005). User Model for Conceptual and Personalized Search. In: Kurzyński, M., Puchała, E., Woźniak, M., żołnierek, A. (eds) Computer Recognition Systems. Advances in Soft Computing, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32390-2_34
Download citation
DOI: https://doi.org/10.1007/3-540-32390-2_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25054-8
Online ISBN: 978-3-540-32390-7
eBook Packages: EngineeringEngineering (R0)