Abstract
This contribution presents a method of adaptive user profile creation, modification at the field of Web search systems by using query terms and weighted terms of retrieved documents. One of the essential parts of the method is heuristic-based significant terms selection from relevant documents, which relevance evaluation is assigned by the user. Created during retrieval cycles sub-profiles, represent user interests, and are used for user query modification. The experiments concerning adaptive user profile, as a personalization mechanism of Web search system, are presented and discussed.
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
Ambrosini, L., Cirillo, V., Micarelli, A.: A Hybrid Architecture for User-Adapted Information Filtering on the World Wide Web. In: Proc. of the 6th International Int. Conf. on User Modelling, UM 1997, pp. 59–62. Springer, Heidelberg (1997)
Asnicar, F., Tasso, C.: ifWeb: a Prototype of User Model-Based Intelligent Agent for Document Filtering and Navigation in the World Wide Web. In: Proc. of the Workshop Adaptive Systems and User Modeling on the World Wide Web. 6th Int. Conf. on User Modelling, UM 1997. Springer, Heidelberg (1997)
Billsus, D., Pazzani, M.: A Hybrid User Model for News Story Classification. In: Proc. of the 7th Int. Conf. on User Modeling, UM 1999, Banff, Canada, pp. 99–108 (1999)
Benaki, E., Karkaletsis, A., Spyropoulos, D.: User Modeling in WWW: the UMIE Prototype. In: Proc. of the 6th Int. Conf. on User Modelling UM 1997, pp. 55–58. Springer, Heidelberg (1997)
Bhatia, S.J.: Selection of Search Terms Based on User Profile, Comm. of the ACM (1992)
Bull, S.: See Yourself Write: A Simple Student Model to Make Students Think. In: Proc. of the 6th Int. Conf. on User Modelling, UM 1997, pp. 315–326. Springer, Heidelberg (1997)
Collins, J.A., Greer, J.E., Kumar, V.S., Mccalla, G.I., Meagher, P., Tkatch, R.: Inspectable User Models for Just–In Time Workplace Training. In: Proc. of the 6th Int. Conf. on User Modelling, UM 1997, pp. 327–338. Springer, Heidelberg (1997)
Daniłowicz, C.: Modelling of user preferences and needs in Boolean retrieval systems. Information Processing and Management 30(3), 363–378 (1994)
Davies, N.J., Weeks, R., Revett, M.C.: Information Agents for World Wide Web. In: Nwana, H.S., Azarni, N. (eds.) Software Agents and Soft Computing: Towards Enhancing Machine Intelligence. LNCS (LNAI), vol. 1198, pp. 81–99. Springer, Heidelberg (1997)
Goldberg, J.L.: CDM: An Approach to Learning in Text Categorization. InternationalJournal on Artificial Intelligence Tools 5(1&2), 229–253 (1996)
Indyka-Piasecka, A., Piasecki, M.: Adaptive Translation between User’s Vocabulary and Internet Queries. In: Proc. of the IIS IPWM 2003, pp. 149–157. Springer, Heidelberg (2003)
Indyka-Piasecka, A., Daniłowicz, C.: Dynamic User Profiles Based on Boolean Formulas. In: Orchard, R., et al. (eds.) IEA/AIE 2004. LNCS (LNAI), vol. 3029, pp. 779–787. Springer, Heidelberg (2004)
Jeapes, B.: Neural Intelligent Agents. Online & CDROM Rev. 20(5), 260–262 (1996)
Maglio, P.P., Barrett, R.: How to Build Modeling Agents to Support Web Searchers. In: Proc. of the 6th Int. Conf. on User Modelling, UM 1997, pp. 5–16. Springer, Heidelberg (1997)
Moukas, A., Zachatia, G.: Evolving a Multi-agent Information Filtering Solution in Amalthaea. In: Proc. of the Conference on Agents, Agents 1997. ACM Press, New York (1997)
Qiu, Y.: Automatic Query Expansion Based on a Similarity Thesaurus, PhD. Thesis (1996)
Salton, G., Bukley, C.: Term-Weighting Approaches in Automatic Text Retrieval. Information Processing & Management 24(5), 513–523 (1988)
Seo, Y.W., Zhang, B.T.: A Reinforcement Learning Agent for Personalised Information Filtering. In: Proc. of the 2000 Int. Conf. on the Intellig. User Interfaces, pp. 248–251. ACM, New York (2000)
Voorhees, E.M.: Implementing Agglomerative Hierarchic Clustering Algorithms for Use in Document Retrieval. Information Processing & Management 22(6), str. 465–476
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Indyka-Piasecka, A. (2010). Adaptive User Profile in Web IR System with Heuristic-Based Acquisition of Significant Terms. In: Nguyen, N.T., Zgrzywa, A., Czyżewski, A. (eds) Advances in Multimedia and Network Information System Technologies. Advances in Intelligent and Soft Computing, vol 80. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14989-4_20
Download citation
DOI: https://doi.org/10.1007/978-3-642-14989-4_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14988-7
Online ISBN: 978-3-642-14989-4
eBook Packages: EngineeringEngineering (R0)