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
User Engagement Modeling with Deep Learning and Language Mo..:
, In:
RecSysChallenge '21: Proceedings of the Recommender Systems Challenge 2021
,
Volkovs, Maksims
;
Perez, Felipe
;
Cheng, Zhaoyue
... - p. 22-27 , 2021
Link:
https://dl.acm.org/doi/10.1145/3487572.3487604
RT T1 <cTitle>RecSysChallenge '21: Proceedings of the Recommender Systems Challenge 2021</cTitle>: T1 <Title>User Engagement Modeling with Deep Learning and Language Models</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3487604&Exemplar=1&LAN=DE A1 Volkovs, Maksims A1 Perez, Felipe A1 Cheng, Zhaoyue A1 Sun, Jianing A1 Norouzi, Sajad A1 Wong, Anson A1 Jankiewicz, Pawel A1 Rho, Barum PB ACM YR 2021 K1 Deep Learning K1 Language Modeling K1 Recommender Systems SP 22 OP 27 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3487572.3487604 DO https://dl.acm.org/doi/10.1145/3487572.3487604 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
