Abstract
This paper proposes a method to allow users to search for Web pages according to their search intentions. We introduce a degree of “unconfidence” for each term in a Web search query. We first investigate the relationships among query terms by accessing a Web search engine. Next, according to a degree of users’ unconfidences for each query term and the relationships among query terms, our system finds alternative terms by accessing to a Web search engine. Then, our system generates a collection of new queries that are different from the original query and merges the Web search results obtained for each new query. We implemented our system and showed the usefulness of our system based on user evaluation.
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Kaneko, Y., Nakamura, S., Ohshima, H., Tanaka, K. (2008). Query Relaxation Based on Users’ Unconfidences on Query Terms and Web Knowledge Extraction. In: Buchanan, G., Masoodian, M., Cunningham, S.J. (eds) Digital Libraries: Universal and Ubiquitous Access to Information. ICADL 2008. Lecture Notes in Computer Science, vol 5362. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89533-6_8
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DOI: https://doi.org/10.1007/978-3-540-89533-6_8
Publisher Name: Springer, Berlin, Heidelberg
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