Predicting future ranking of online novels based on collective intelligence

Kazunori Shimizu, Eisuke Ito, Sachio Hirokawa

    Research output: Contribution to conferencePaperpeer-review

    2 Citations (Scopus)

    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.

    Original languageEnglish
    Pages261-272
    Number of pages12
    Publication statusPublished - 2013
    Event3rd International Conference on Digital Information Processing and Communications, ICDIPC 2013 - Dubai, United Arab Emirates
    Duration: Jan 30 2013Feb 1 2013

    Other

    Other3rd International Conference on Digital Information Processing and Communications, ICDIPC 2013
    Country/TerritoryUnited Arab Emirates
    CityDubai
    Period1/30/132/1/13

    All Science Journal Classification (ASJC) codes

    • Computer Networks and Communications
    • Information Systems
    • Signal Processing

    Fingerprint

    Dive into the research topics of 'Predicting future ranking of online novels based on collective intelligence'. Together they form a unique fingerprint.

    Cite this