Presentation 2007-07-02
Discovering Typical Queries for Web Pages
Yutaka KABUTOYA, Takayuki YUMOTO, Satoshi OYAMA, Katsumi TANAKA,
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Abstract(in English) Nowadays many users use search engines to find and browse a desirable Web page. Those queries to reach a given page concisely describe the needs of users (contents consumers) existing potentially for the page. Therefore, finding "typical queries" for a given Web page will be useful to discover the interests of Web users to the page, and will be moreover, useful for the author to improve its content. In this paper, we define the most "typical query" q for a given page p as the most frequent query by which consumers reach the page p through a Web search engine, and visit the page p. In our research, candidates for the typical query is assumed order to find the "typical queries" for a given Web page, we need actual query frequency information, and so we use queries owned by a search engine. The probability of actually visiting the page p after finding the page p by the query q is calculated from the rank of p in executing q to a Web search engine.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) typical query / query log / ranking
Paper # DE2007-30
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Conference Information
Committee DE
Conference Date 2007/6/25(1days)
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Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Discovering Typical Queries for Web Pages
Sub Title (in English)
Keyword(1) typical query
Keyword(2) query log
Keyword(3) ranking
1st Author's Name Yutaka KABUTOYA
1st Author's Affiliation Graduate School of Informatics, Kyoto University()
2nd Author's Name Takayuki YUMOTO
2nd Author's Affiliation Graduate School of Engineering, University of Hyogo
3rd Author's Name Satoshi OYAMA
3rd Author's Affiliation Graduate School of Informatics, Kyoto University
4th Author's Name Katsumi TANAKA
4th Author's Affiliation Graduate School of Informatics, Kyoto University
Date 2007-07-02
Paper # DE2007-30
Volume (vol) vol.107
Number (no) 131
Page pp.pp.-
#Pages 6
Date of Issue