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
Contextual Multi-Armed Bandit for Email Layout Recommendati..:
, In:
Proceedings of the 17th ACM Conference on Recommender Systems
,
Chen, Yan
;
Vankov, Emilian
;
Baltrunas, Linas
... - p. 400-402 , 2023
Link:
https://dl.acm.org/doi/10.1145/3604915.3608878
RT T1
Proceedings of the 17th ACM Conference on Recommender Systems
: T1
Contextual Multi-Armed Bandit for Email Layout Recommendation
UL https://suche.suub.uni-bremen.de/peid=acm-3608878&Exemplar=1&LAN=DE A1 Chen, Yan A1 Vankov, Emilian A1 Baltrunas, Linas A1 Donovan, Preston A1 Mehta, Akash A1 Schroeder, Benjamin A1 Herman, Matthew PB ACM YR 2023 K1 email layout K1 multi-armed bandit K1 recommendations K1 reinforcement learning K1 Applied computing K1 Electronic commerce K1 Online shopping K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Reinforcement learning K1 Information systems K1 World Wide Web K1 Online advertising K1 Information retrieval K1 Retrieval tasks and goals K1 Recommender systems SP 400 OP 402 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3604915.3608878 DO https://dl.acm.org/doi/10.1145/3604915.3608878 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)