文献
J-GLOBAL ID:202202210024200431
整理番号:22A0856359
潜在因子アラインメントに基づくクロスドメイン推薦【JST・京大機械翻訳】
Cross-domain recommendation based on latent factor alignment
著者 (6件):
Yu Xu
(School of Information Science and Technology, Qingdao University of Science and Technology, Qingdao, China)
,
Hu Qiang
(School of Information Science and Technology, Qingdao University of Science and Technology, Qingdao, China)
,
Li Hui
(School of Information Science and Technology, Qingdao University of Science and Technology, Qingdao, China)
,
Du Junwei
(School of Information Science and Technology, Qingdao University of Science and Technology, Qingdao, China)
,
Gao Jia
(School of Information Science and Technology, Qingdao University of Science and Technology, Qingdao, China)
,
Sun Lijun
(School of Information Science and Technology, Qingdao University of Science and Technology, Qingdao, China)
資料名:
Neural Computing & Applications
(Neural Computing & Applications)
巻:
34
号:
5
ページ:
3421-3432
発行年:
2022年
JST資料番号:
W0703A
ISSN:
0941-0643
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)