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レビュー情報を用いた学術本の難易度推定
https://doi.org/10.24517/00008803
https://doi.org/10.24517/00008803648b762a-14c2-48fe-89d4-008aada84e61
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
TE-PR-NAKAYAMA-Y-213.pdf (504.4 kB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||||||||
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| 公開日 | 2017-10-03 | |||||||||||
| タイトル | ||||||||||||
| タイトル | レビュー情報を用いた学術本の難易度推定 | |||||||||||
| タイトル | ||||||||||||
| タイトル | An estimation of difficulty for academic books using reviews | |||||||||||
| 言語 | en | |||||||||||
| 言語 | ||||||||||||
| 言語 | jpn | |||||||||||
| 資源タイプ | ||||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||
| 資源タイプ | journal article | |||||||||||
| ID登録 | ||||||||||||
| ID登録 | 10.24517/00008803 | |||||||||||
| ID登録タイプ | JaLC | |||||||||||
| 著者 |
中山, 祐輝
× 中山, 祐輝× 南保, 英孝× 木村, 春彦 |
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| 著者別表示 |
Nakayama, Yuki
× Nakayama, Yuki
× Nambo, Hidetaka
× Kimura, Haruhiko
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| 提供者所属 | ||||||||||||
| 内容記述タイプ | Other | |||||||||||
| 内容記述 | 金沢大学融合研究域融合科学系 / 金沢大学理工研究域電子情報学系 | |||||||||||
| 書誌情報 |
Transactions of the Japanese Society for Artificial Intelligence 巻 27, 号 3, p. 213-222, 発行日 2012-01-01 |
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| ISSN | ||||||||||||
| 収録物識別子タイプ | ISSN | |||||||||||
| 収録物識別子 | 1346-0714 | |||||||||||
| NCID | ||||||||||||
| 収録物識別子タイプ | NCID | |||||||||||
| 収録物識別子 | AA11579226 | |||||||||||
| DOI | ||||||||||||
| 関連タイプ | isVersionOf | |||||||||||
| 識別子タイプ | DOI | |||||||||||
| 関連識別子 | 10.1527/tjsai.27.213 | |||||||||||
| 出版者 | ||||||||||||
| 出版者 | 人工知能学会 = The Japanese Society for Artificial Intelligence | |||||||||||
| 抄録 | ||||||||||||
| 内容記述タイプ | Abstract | |||||||||||
| 内容記述 | 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. | |||||||||||
| 著者版フラグ | ||||||||||||
| 出版タイプ | AM | |||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||||||||
