I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
MultiFS: Automated Multi-Scenario Feature Selection in Deep..:
, In:
Proceedings of the 17th ACM International Conference on Web Search and Data Mining
,
Liu, Dugang
;
Yang, Chaohua
;
Tang, Xing
... - p. 434-442 , 2024
Link:
https://dl.acm.org/doi/10.1145/3616855.3635859
RT T1 <cTitle>Proceedings of the 17th ACM International Conference on Web Search and Data Mining</cTitle>: T1 <Title>MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3635859&Exemplar=1&LAN=DE A1 Liu, Dugang A1 Yang, Chaohua A1 Tang, Xing A1 Wang, Yejing A1 Lyu, Fuyuan A1 Luo, Weihong A1 He, Xiuqiang A1 Ming, Zhong A1 Zhao, Xiangyu PB ACM YR 2024 K1 deep recommender system K1 feature selection K1 hierarchical gate K1 multi-scenario learning K1 Information systems K1 Information retrieval K1 Retrieval tasks and goals K1 Recommender systems SP 434 OP 442 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3616855.3635859 DO https://dl.acm.org/doi/10.1145/3616855.3635859 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
