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Publications (2)0 Total impact

  • T. Oishi · S. Kuramoto · T. Mine · R. Hasegawa · H. Fujita · M. Koshimura ·
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    ABSTRACT: When searching for information a user wants, search engines often return lots of results unintended by the user. Query expansion is a promising approach to solve this problem. In the query expansion research, one of big issues is to generate appropriate keywords representing the user's intention. This paper proposes the related word extraction algorithm (RWEA) which pays attention to the distance between sentences where keywords in the original query appear. The RWEA is based on the idea that a word nearby important words is also important. We conducted several experiments to evaluate the RWEA. The results promise the effectiveness of the RWEA for improving search results.
    Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on; 01/2009
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    ABSTRACT: In Web retrieval, it is often the case that the results given by search engines are not just what we want. To solve this problem there have been many studies on improving queries to be submitted to search engines. However, they are still insufficient due to lack of consideration on time information. To remedy this we propose a user-schedule-based Web page recommendation method. The method makes use of a user's schedule to make the recommendation suite to his/her requests. In addition, an algorithm for extracting related words is introduced as a key technique in this method. Some preliminary experiments show very promising results in recommending Web pages relevant to users requests. We also confirmed that this algorithm outperforms a method using mutual information.
    Web Intelligence, IEEE/WIC/ACM International Conference on; 12/2007