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
Enhanced Experiences: Benefits of AI-Powered Recommendation..:
, In:
2024 26th International Conference on Advanced Communications Technology (ICACT)
,
Carole, Kouayep Sonia
;
Theodore Armand, Tagne Poupi
;
Kim, Hee Cheol
- p. 216-220 , 2024
Link:
https://doi.org/10.23919/ICACT60172.2024.10471918
RT T1 <cTitle>2024 26th International Conference on Advanced Communications Technology (ICACT)</cTitle>: T1 <Title>Enhanced Experiences: Benefits of AI-Powered Recommendation Systems</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10471918&Exemplar=1&LAN=DE A1 Carole, Kouayep Sonia A1 Theodore Armand, Tagne Poupi A1 Kim, Hee Cheol YR 2024 SN 1738-9445 K1 Technological innovation K1 Machine learning algorithms K1 Reviews K1 Soft sensors K1 User experience K1 Artificial intelligence K1 Information technology K1 Artificial Intelligence (AI) collaborative filtering (CB) K1 content-based recommendation K1 hybrid recommendation system K1 Recommendation System (RS) K1 user-based recommendation SP 216 OP 220 LK http://dx.doi.org/https://doi.org/10.23919/ICACT60172.2024.10471918 DO https://doi.org/10.23919/ICACT60172.2024.10471918 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
