A Method to Estimate Difficulty Level for Academic Books Using User Reviews and Table of Contents and Application for Recommender System

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  • Nakayama Yuki
    Tokyo Institute of Technology Graduate School of Information Science and Engineering
  • Nambo Hidetaka
    Kanazawa University Graduate School of Natural Science & Technology
  • Kimura Haruhiko
    Kanazawa University Graduate School of Natural Science & Technology

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  • ユーザーレビューと目次を用いた学術本の難易度推定手法の提案と推薦システムへの応用
  • ユーザーレビュー ト モクジ オ モチイタ ガクジュツホン ノ ナンイド スイテイ シュホウ ノ テイアン ト スイセン システム エ ノ オウヨウ

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Abstract

<p>This paper presents a method of estimating the level of difficulty for academic books using user reviews and the table of contents. Moreover, we build a simple user interface for recommender system based on difficulty level. As a choice of selecting academic books, the collaborative filtering has often been used for recommending them. However, the academic books selected by user preference are sometimes over user's knowledge resulting in wasting time and money. Hence, if we could know the difficulty level of the academic books which a user is browsing currently, the difficulty level available as meta data can be used for recommending them. Also, the difficulty level can be used as a parameter for selecting advanced books and for the user who gave up reading an academic book due to its difficulty.</p>

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