A method for extracting attractive sentences from an electronic book based on reviews for effective browsing

Soichi Murai, Taketoshi Ushiama

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Recently, electronic book(e-book) market is growing rapidly and people become able to choice e-books that they would like to read from a large amount of e-books. Therefore, systems for finding efficiently one or more sufficient books that have something worth reading from vast numbers of e-books are demanded. In order to support users to select books, many techniques for searching and recommending books have been proposed. However the users would have to judge whether each book in candidates is worth reading. We think that stand reading is effective for the selecting actual books at bookstores in the real world. In this paper, we introduce a method for supporting stand reading on e-books on the Web. Our method recommends a user sentences which would attract and/or interest the user in a book. In our method, firstly, the attractiveness of each term in a book is calculated based on reviews about the book on the Web. Then, the attractiveness of each sentence in the book is calculated based on the attractiveness of the terms. Furthermore, this paper shows the experimental results of our method and discusses its effectiveness.

    Original languageEnglish
    Title of host publicationKnowledge-Based and Intelligent Information and Engineering Systems - 15th International Conference, KES 2011, Proceedings
    Pages24-33
    Number of pages10
    EditionPART 4
    DOIs
    Publication statusPublished - 2011
    Event15th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2011 - Kaiserslautern, Germany
    Duration: Sep 12 2011Sep 14 2011

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    NumberPART 4
    Volume6884 LNAI
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other15th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2011
    Country/TerritoryGermany
    CityKaiserslautern
    Period9/12/119/14/11

    All Science Journal Classification (ASJC) codes

    • Theoretical Computer Science
    • Computer Science(all)

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