Presentation 2007-07-03
A Support Method Based on the Temporal Relation of Query Keywords for Web Search
Toru ONODA, Kazutoshi SUMIYA,
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Abstract(in English) Classification and clustering search engines analyzing of Web page's content and returning serch results by topic have been provided. However, most conventionally classification and clustering methods analyzed "current contents" of URL shown as search results. And there are few what kind of things which analyzed update of the past. We analyze what kind of relations the plural query keywords which a user input appears with in this study in terms of time in a Web page shown as search results. We suggest method classifying Web pages in based on time relations between query keywords. We perform analysis of time relations between quesry keywords by using past Web page information accumulated to a Web archive. Furthermore, We supplement information in this study for a Web page to show by We extract a page of the past, and showing it with a current page. In this paper, We explain these Web search support methods.
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Keyword(in English) Web Archive / Information Retrieval / Clustering
Paper # DE2007-87
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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) A Support Method Based on the Temporal Relation of Query Keywords for Web Search
Sub Title (in English)
Keyword(1) Web Archive
Keyword(2) Information Retrieval
Keyword(3) Clustering
1st Author's Name Toru ONODA
1st Author's Affiliation ()
2nd Author's Name Kazutoshi SUMIYA
2nd Author's Affiliation
Date 2007-07-03
Paper # DE2007-87
Volume (vol) vol.107
Number (no) 131
Page pp.pp.-
#Pages 6
Date of Issue