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.
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© 2005 Springer-Verlag Berlin Heidelberg
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Ghose, S., Jo, GS. (2005). Interactive and Adaptive Search Context for the User with the Exploration of Personalized View Reformulation. In: Hao, Y., et al. Computational Intelligence and Security. CIS 2005. Lecture Notes in Computer Science(), vol 3801. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596448_69
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DOI: https://doi.org/10.1007/11596448_69
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30818-8
Online ISBN: 978-3-540-31599-5
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