Presentation 2014-01-10
Modeling Feature Terms RDF for Web Pages Recommendation
Tetsu FUJIWARA, Michiko OBA, Taku YAMAGUCHI, Taku OKUNO, Kei ITO,
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Abstract(in English) Web search has a problem that users cannot get the desired information if they don't know suitable keywords. In previous studies, we proposed a method of Web pages recommendation by using feature terms of the Web page text that the user is viewing and the relation by RDF. However, there are two problems. One is the feature terms have no additional information in the RDF. The other, there is a problem that cannot be associated with RDF across multiple. In this paper, we propose the improvement of RDF structure for having relevant information of feature terms and the association of RDF for recommendation intended for multiple sites.
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Keyword(in English) Web search / Keyword / Recommendation / Feature Terms / RDF
Paper # SC2013-16
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Committee SC
Conference Date 2014/1/3(1days)
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Registration To Services Computing (SC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Modeling Feature Terms RDF for Web Pages Recommendation
Sub Title (in English)
Keyword(1) Web search
Keyword(2) Keyword
Keyword(3) Recommendation
Keyword(4) Feature Terms
Keyword(5) RDF
1st Author's Name Tetsu FUJIWARA
1st Author's Affiliation Graduate School of Future University Hakodate()
2nd Author's Name Michiko OBA
2nd Author's Affiliation Future University Hakodate
3rd Author's Name Taku YAMAGUCHI
3rd Author's Affiliation Graduate School of Future University Hakodate
4th Author's Name Taku OKUNO
4th Author's Affiliation Future University Hakodate
5th Author's Name Kei ITO
5th Author's Affiliation Future University Hakodate
Date 2014-01-10
Paper # SC2013-16
Volume (vol) vol.113
Number (no) 376
Page pp.pp.-
#Pages 5
Date of Issue