Predicting future ranking of online novels based on collective intelligence

Kazunori Shimizu, Eisuke Ito, Sachio Hirokawa

研究成果: Contribution to conferencePaper査読

2 被引用数 (Scopus)

抄録

A large number of novels are being upload-ed as online novels. The present paper pro-poses a ranking algorithm based on the us-ers' 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.

本文言語英語
ページ261-272
ページ数12
出版ステータス出版済み - 1 1 2013
外部発表はい
イベント3rd International Conference on Digital Information Processing and Communications, ICDIPC 2013 - Dubai, アラブ首長国連邦
継続期間: 1 30 20132 1 2013

その他

その他3rd International Conference on Digital Information Processing and Communications, ICDIPC 2013
国/地域アラブ首長国連邦
CityDubai
Period1/30/132/1/13

All Science Journal Classification (ASJC) codes

  • コンピュータ ネットワークおよび通信
  • 情報システム
  • 信号処理

引用スタイル