Presentation 2012-12-13
A study of online novel ranking based on collective intelligence
Kazunori SHIMIZU, Eisuke ITO, Sachio HIROKAWA,
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Abstract(in English) A large number of novels are being uploaded as online novels. The present paper proposes a ranking algorithm based on the users' favorite lists (bookmarks). Empirical evaluation has been conducted with respect to each genre of novels. In several genres, it is confirmed that the top ranked novels in July are predicted from the bookmarks of May.
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Keyword(in English) collective intelligence / ranking / user generated contents / online novel, bookmark / HITS
Paper # DE2012-33
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Committee DE
Conference Date 2012/12/5(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 study of online novel ranking based on collective intelligence
Sub Title (in English)
Keyword(1) collective intelligence
Keyword(2) ranking
Keyword(3) user generated contents
Keyword(4) online novel, bookmark
Keyword(5) HITS
1st Author's Name Kazunori SHIMIZU
1st Author's Affiliation Graduate school of ISEE, Kyushu University()
2nd Author's Name Eisuke ITO
2nd Author's Affiliation Research Institute for Information Technology, Kyushu University
3rd Author's Name Sachio HIROKAWA
3rd Author's Affiliation Research Institute for Information Technology, Kyushu University
Date 2012-12-13
Paper # DE2012-33
Volume (vol) vol.112
Number (no) 346
Page pp.pp.-
#Pages 6
Date of Issue