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
Cache-Aware Reinforcement Learning in Large-Scale Recommend..:
, In:
Companion Proceedings of the ACM Web Conference 2024
,
Chen, Xiaoshuang
;
Zhang, Gengrui
;
Wang, Yao
... - p. 284-291 , 2024
Link:
https://dl.acm.org/doi/10.1145/3589335.3648326
RT T1 <cTitle>Companion Proceedings of the ACM Web Conference 2024</cTitle>: T1 <Title>Cache-Aware Reinforcement Learning in Large-Scale Recommender Systems</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3648326&Exemplar=1&LAN=DE A1 Chen, Xiaoshuang A1 Zhang, Gengrui A1 Wang, Yao A1 Wu, Yulin A1 Su, Shuo A1 Zhan, Kaiqiao A1 Wang, Ben PB ACM YR 2024 K1 cache K1 eigenfunction K1 recommender systems K1 reinforcement learning K1 Information systems K1 Information retrieval K1 Retrieval tasks and goals K1 Recommender systems SP 284 OP 291 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3589335.3648326 DO https://dl.acm.org/doi/10.1145/3589335.3648326 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
