文献
J-GLOBAL ID:202002236956188795
整理番号:20A2274188
文脈データは学術的レコメンダーシステムのユーザ経験に影響を及ぼすか:経験的フレームワーク【JST・京大機械翻訳】
How Contextual Data Influences User Experience with Scholarly Recommender Systems: An Empirical Framework
著者 (4件):
Champiri Zohreh Dehghani
(School of Interactive Arts and Technology, Simon Fraser University Vancouver, Vancouver, Canada)
,
Fisher Brian
(School of Interactive Arts and Technology, Simon Fraser University Vancouver, Vancouver, Canada)
,
Kiong Loo Chu
(Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia)
,
Danaee Mahmoud
(Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia)
資料名:
Lecture Notes in Computer Science
(Lecture Notes in Computer Science)
巻:
12423
ページ:
635-661
発行年:
2020年
JST資料番号:
H0078D
ISSN:
0302-9743
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)