Presentation 2009-03-05
Estimation of personal interests based on group of access logs and its application to keywords extraction
Akira OMORI, Hajime NOBUHARA,
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Abstract(in English) Extraction of keywords, often times, is used to estimate personal interests. Although it's results are to estimate the keywords of documentation. So if a person does not have interests in a document itself, then we assume that keywords, which are extracted from the document, does not relate with personal interests. This paper proposes a use of group of access logs to judge the document which contains personal interests and revise the keyword extraction for estimating personal interest. This research evaluates the revision of access logs over the keywords extraction: TF-IDF, by conducting a survey of 5 people to see significant effect. Through the experimental comparison between the proposed method and other methods by sign-test, it is confirmed that the proposed method provides better estimation results of user's interests compared with other methods.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Collective Intelligence / Keywords Extraction / Preference Extraction
Paper # SIS2008-74
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Committee SIS
Conference Date 2009/2/26(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Estimation of personal interests based on group of access logs and its application to keywords extraction
Sub Title (in English)
Keyword(1) Collective Intelligence
Keyword(2) Keywords Extraction
Keyword(3) Preference Extraction
1st Author's Name Akira OMORI
1st Author's Affiliation University of Tsukuba Collage of Engineering Systems()
2nd Author's Name Hajime NOBUHARA
2nd Author's Affiliation University of Tsukuba, Graduate School of Systems and Information Engineering
Date 2009-03-05
Paper # SIS2008-74
Volume (vol) vol.108
Number (no) 461
Page pp.pp.-
#Pages 2
Date of Issue