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Development of a Book Recommendation System to Inspire “Infrequent Readers”

  • Shuntaro Yada
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8839)

Abstract

This research introduces Serendy, a book recommendation system available in Japanese language that presents book information referred to by friends within Twitter to those who have the desire to read but are not accustomed to reading (infrequent readers). Serendy relies not on the interests of users nor on the content of books, but on users’ social capital within Social Networking Service (SNS). Through closed a beta test, Serendy has been enhancing its algorithm for accurately identifying book information mentioned in tweets.

Keywords

book recommendation system social networks in Japan bibliographic information extraction Japanese morpheme analysis regular expressions 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Shuntaro Yada
    • 1
  1. 1.Graduate School of EducationUniversity of TokyoBunkyo-kuJapan

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