Title: PREDICTING FUTURE RANKING OF ONLINE NOVELS BASED ON COLLECTIVE INTELLIGENCE

Year of Publication: 2013
Page Numbers: 261-272
Authors: Kazunori Shimizu, Eisuke Ito, Sachio Hirokawa
Conference Name: The Third International Conference on Digital Information Processing and Communications (ICDIPC2013)
- United Arab Emirates

Abstract:


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.