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
Quantifying and Leveraging User Fatigue for Interventions i..:
, In:
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
,
Sagtani, Hitesh
;
Jhawar, Madan Gopal
;
Gupta, Akshat
. - p. 2293-2297 , 2023
Link:
https://dl.acm.org/doi/10.1145/3539618.3592044
RT T1 <cTitle>Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval</cTitle>: T1 <Title>Quantifying and Leveraging User Fatigue for Interventions in Recommender Systems</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3592044&Exemplar=1&LAN=DE A1 Sagtani, Hitesh A1 Jhawar, Madan Gopal A1 Gupta, Akshat A1 Mehrotra, Rishabh PB ACM YR 2023 K1 recommendation system K1 social media K1 user churn K1 user fatigue K1 Information systems K1 Information retrieval K1 Users and interactive retrieval K1 Personalization K1 Retrieval tasks and goals K1 Recommender systems SP 2293 OP 2297 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3539618.3592044 DO https://dl.acm.org/doi/10.1145/3539618.3592044 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
