レビュー情報を用いた学術本の難易度推定

• 中山 祐輝

  金沢大学大学院自然科学研究科

• 南保 英孝

  金沢大学大学院自然科学研究科

• 木村 春彦

  金沢大学大学院自然科学研究科

書誌事項

タイトル別名

• An Estimation of Difficulty for Academic Books using Reviews

抄録

A collaborate filtering has been generally used as a method which recommends items to customers. However, recommending academic books, it need to consider difficulty of them and individual amount of knowledge as well as user's preference. If the recommendation method considers only user's preference, they might regret after buying or reading recommended book because it won't match user's appropriate level. In this paper, we focus on academic books and propose a method which estimates the difficulty of academic books using user's reviews. Estimating difficulty of books will support users to search and recommend academic books that match user's skill. Moreover, we evaluated applying our method to academic text books about C programming Language. We verified that our method is more effective than traditional methods for academic books.

収録刊行物

• 人工知能学会論文誌

  人工知能学会論文誌 27 (3), 213-222, 2012

  一般社団法人 人工知能学会

キーワード

• information retrieval
• difficulty
• learning support
• recommender system

詳細情報

• CRID: 1390001205106712704
• NII論文ID: 130001878759
• NII書誌ID: AA11579226
• DOI: 10.1527/tjsai.27.213
• BIBCODE: 2012TJSAI..27..213N
• ISSN: 13468030
• ISSN: 13460714
• Web Site: https://www.jstage.jst.go.jp/article/tjsai/27/3/27_3_213/_pdf
• 本文言語コード: ja
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• 抄録ライセンスフラグ: 使用不可