Presentation 2007-07-03
Reranking of Web Search Results using Regionality and Locality of Support
Hiroyuki KONDO, Taro TEZUKA, Katsumi TANAKA,
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Abstract(in English) Social support for a Web page is usually expressed by the existence of hyperlinks linking to the target page in other Web pages. Locations of pages linking to the target Web pages might be distributed worldwide or restricted to some specific region. There are at least two types of uneven spatial distributions : (1) regionality which indicates density of particular area, and (2) locality which indicates bias of whole distribution. Existing ranking algorithms do not extract this type of feature, and do not utilize such spatial distribution information for ranking search results. In this paper, we propose a way to re-rank search results based on these features in order to improve local search.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Geographic information / Regionality / Locality / Support degree / Web mining
Paper # DE2007-94
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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) Reranking of Web Search Results using Regionality and Locality of Support
Sub Title (in English)
Keyword(1) Geographic information
Keyword(2) Regionality
Keyword(3) Locality
Keyword(4) Support degree
Keyword(5) Web mining
1st Author's Name Hiroyuki KONDO
1st Author's Affiliation Department of Social Informatics, Graduate School of Informatics, Kyoto University()
2nd Author's Name Taro TEZUKA
2nd Author's Affiliation Department of Social Informatics, Graduate School of Informatics, Kyoto University
3rd Author's Name Katsumi TANAKA
3rd Author's Affiliation Department of Social Informatics, Graduate School of Informatics, Kyoto University
Date 2007-07-03
Paper # DE2007-94
Volume (vol) vol.107
Number (no) 131
Page pp.pp.-
#Pages 6
Date of Issue