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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | collective intelligence / ranking / user generated contents / online novel, bookmark / HITS |
Paper # | DE2012-33 |
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Committee | DE |
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Conference Date | 2012/12/5(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Data Engineering (DE) |
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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 |
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