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Title: Research Paper Recommender System for University Students on the E-Book System
Authors: Nishioka, Chifumi
Ogata, Hiroaki  kyouindb  KAKEN_id
Author's alias: 西岡, 千文
緒方, 広明
Issue Date: 2018
Publisher: Association for Computing Machinery(ACM)
Journal title: Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries
Start page: 369
End page: 370
Abstract: This paper shows a research paper recommender system for university students. The recommender system is embedded in an e-book system, which displays learning materials (e.g., slides) and is used at lectures. The recommender system suggests papers related to a learning material. The experiment revealed students do not access to recommended papers during the lecture. Instead, they access to research papers when reviewing the lecture and/or working for an assignment.
Description: JCDL '18 The 18th ACM/IEEE Joint Conference on Digital Libraries, Fort Worth, TX, USA - June 03 - 07, 2018
Rights: © ACM 2018. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in 'Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries',
This is not the published version. Please cite only the published version. この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。
DOI(Published Version): 10.1145/3197026.3203882
Appears in Collections:Journal Articles

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