文献
J-GLOBAL ID:202002274790200561
整理番号:20A0292314
個別化セッションベース推奨のためのクロスドメイン階層的回帰モデル【JST・京大機械翻訳】
A cross-domain hierarchical recurrent model for personalized session-based recommendations
著者 (7件):
Wang Yaqing
(Beijing Key Laboratory of Network System Architecture and Convergence, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China)
,
Guo Caili
(Beijing Key Laboratory of Network System Architecture and Convergence, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China)
,
Chu Yunfei
(Beijing Key Laboratory of Network System Architecture and Convergence, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China)
,
Chu Yunfei
(Beijing Laboratory of Advanced Information Networks, Beijing University of Posts and Telecommunications, Beijing, China)
,
Hwang Jenq-Neng
(Department of Electrical Engineering, University of Washington, Seattle, USA)
,
Feng Chunyan
(Beijing Key Laboratory of Network System Architecture and Convergence, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China)
,
Feng Chunyan
(Beijing Laboratory of Advanced Information Networks, Beijing University of Posts and Telecommunications, Beijing, China)
資料名:
Neurocomputing
(Neurocomputing)
巻:
380
ページ:
271-284
発行年:
2020年
JST資料番号:
W0360A
ISSN:
0925-2312
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)