Predicting Future Ranking of Online Novels based on Collective Intelligence - Collections

＜conference paper＞
Predicting Future Ranking of Online Novels based on Collective Intelligence

Creator	Creator Name Shimizu, Kazunori 清水, 一憲シミズ, カズノリ Affiliation Affiliation Name Research Institute for IT \| Grad. School of ISEE
	Creator Name Ito, Eisuke 伊東, 栄典イトウ, エイスケ Affiliation Affiliation Name Grad. School of ISEE \| Research Institute for IT
	Creator Name Hirokawa, Sachio 廣川, 佐千男ヒロカワ, サチオ Affiliation Affiliation Name Research Institute for IT \| Grad. School of ISEE
Language	Japanese
Publisher	SWDIC
Date	2013-02-14
Source Title	Proceedings of ICDIPC2013 (The Third Int'l Conf on Digital Info. Processing and Communications)
First Page	261
Last Page	272
Publication Type	Accepted Manuscript
Access Rights	open access
Related DOI	Proceedings of ICDIPC2013 (The Third Int'l Conf on Digital Info. Processing and Communications) \|\| p261-272
Related URI	Proceedings of ICDIPC2013 (The Third Int'l Conf on Digital Info. Processing and Communications) \|\| p261-272
Relation	Proceedings of ICDIPC2013 (The Third Int'l Conf on Digital Info. Processing and Communications) \|\| p261-272
Abstract	A large number of novels are being up- loaded as online novels. The present paper proposes a ranking algorithm based on the users’ favorite lists (bookmarks). Empirical evaluation has been conducted w...ith 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.show more

File	FileType	Size	Views	Description
icdipc-novdl-ranking	pdf	1.43 MB	479