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
M2EU: Meta Learning for Cold-start Recommendation via Enhan..:
, In:
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
,
Wu, Zhenchao
;
Zhou, Xiao
- p. 1158-1167 , 2023
Link:
https://dl.acm.org/doi/10.1145/3539618.3591719
RT T1 <cTitle>Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval</cTitle>: T1 <Title>M2EU: Meta Learning for Cold-start Recommendation via Enhancing User Preference Estimation</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3591719&Exemplar=1&LAN=DE A1 Wu, Zhenchao A1 Zhou, Xiao PB ACM YR 2023 K1 cold-start problem K1 meta learning K1 recommender systems K1 user preference estimation K1 Computer systems organization K1 Embedded and cyber-physical systems K1 Embedded systems K1 Dependable and fault-tolerant systems and networks K1 Redundancy K1 Robotics K1 Networks K1 Network properties K1 Network reliability SP 1158 OP 1167 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3539618.3591719 DO https://dl.acm.org/doi/10.1145/3539618.3591719 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
