Interactive and adaptive search context for the user with the exploration of personalized view reformulation

Authors:
Supratip Ghose;Geun-Sik Jo
Affiliations:
Intelligent E-Commerce Systems Laboratory, School of Computer and Information Engineering, Inha University, Incheon, Korea;School of Computer and Information Engineering, Inha University
Venue:
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
Year:
2005

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Abstract

The explosive growth of information on the web demands effective intelligent search and filtering methods. Consequently, techniques have been developed that extract conceptual information to form a personalized view of the search context. In a similar vein, this system ventures to extract conceptual information as a weighted term category automatically monitoring the user’s browsing habits. This concept hierarchy can be served as a thematic search context to disambiguate the words in the user’s query to form an effective search query. Experimental results carried out with this framework suggests that implicit measurements of user interests, combined with the semantic knowledge embedded in concept hierarchy can be used effectively to infer the user context and to improve the results of information retrieval.