Intuitive display for search engines toward fast detection of peculiar WWW pages

Authors:
Einoshin Suzuki;Shin Ando;Masayuki Hirose;Masatoshi Jumi
Affiliations:
Department of Informatics, Graduate School of Information Science and Electrical Engineering, Kyushu University, Japan;Electrical and Computer Engineering, Yokohama National University, Japan;Electrical and Computer Engineering, Yokohama National University, Japan;Electrical and Computer Engineering, Yokohama National University, Japan
Venue:
WImBI'06 Proceedings of the 1st WICI international conference on Web intelligence meets brain informatics
Year:
2006

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Abstract

In this paper, we discuss utilization of data mining techniques in realizing intuitive display for search engines toward fast detection of peculiar WWW pages. A search engine can be regarded as a telescope forWWWbecause it serves as a means to find relevant information in the huge cyberspace. Most of the current display styles of search engines are, however, just text-based rankings thus are far from intuitive. They are also inadequate for certain activities such as browsing for unexpected Web pages. Detection of peculiar WWW pages is expected to lead to making profits and to stimulating our creativity. Our visualization method DPITT (Detecting Peculiar WWW pages from Image, Topic and Term) is based on several data mining techniques and outperforms that of Google in a problem setting which largely favors Google. In this paper, we mainly present our DPITT and we introduce our latest system GEMVIG.