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
Enhancing Interpretability and Effectiveness in Recommendat..:
, In:
Companion Proceedings of the ACM Web Conference 2024
,
Xu, Xiaoxiao
;
Wu, Hao
;
Yu, Wenhui
... - p. 453-460 , 2024
Link:
https://dl.acm.org/doi/10.1145/3589335.3648345
RT T1 <cTitle>Companion Proceedings of the ACM Web Conference 2024</cTitle>: T1 <Title>Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3648345&Exemplar=1&LAN=DE A1 Xu, Xiaoxiao A1 Wu, Hao A1 Yu, Wenhui A1 Hu, Lantao A1 Jiang, Peng A1 Gai, Kun PB ACM YR 2024 K1 ctr prediction K1 monotonicity K1 numerical features K1 recommender system K1 Information systems K1 Information retrieval K1 Retrieval tasks and goals K1 Recommender systems SP 453 OP 460 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3589335.3648345 DO https://dl.acm.org/doi/10.1145/3589335.3648345 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
