Abstract
When an Internet user wants to know about a certain topic, the user uses a search engine to find pages related to that topic. However, there are so many pages in World Wide Web that the user cannot access to the pages directly, because most search engines output URLs matching the exact words entered by the user. This paper presents a Interest Hypothesis Discovering System which discovers hypotheses impling user’s hidden interests. As an application of the system, we show a method to support user’s expression of interests when the user uses a search engine by offering words related to the hidden interest. The user refines the search condition with words presented to get URLs
This work includes a new modelling of user’s interest expressions. That is, our discovering system employs a Hypothesis Creation System which creates new hypotheses implying relationships among input words for search. New hypotheses are interpreted as a user’s hidden interests, which enable the discovering system to present effective new words for the user to search
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© 1998 Springer-Verlag Berlin Heidelberg
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Sunayama, W., Nomura, Y., Ohsawa, Y., Yachida, M. (1998). Refining Search Expression by Discovering Hidden User’s Interests. In: Arikawa, S., Motoda, H. (eds) Discovey Science. DS 1998. Lecture Notes in Computer Science(), vol 1532. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49292-5_17
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DOI: https://doi.org/10.1007/3-540-49292-5_17
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