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
Implicit User Awareness Modeling via Candidate Items for CT..:
, In:
Proceedings of the ACM Web Conference 2022
,
Zheng, Kaifu
;
Wang, Lu
;
Li, Yu
... - p. 246-255 , 2022
Link:
https://dl.acm.org/doi/10.1145/3485447.3511953
RT T1 <cTitle>Proceedings of the ACM Web Conference 2022</cTitle>: T1 <Title>Implicit User Awareness Modeling via Candidate Items for CTR Prediction in Search Ads</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3511953&Exemplar=1&LAN=DE A1 Zheng, Kaifu A1 Wang, Lu A1 Li, Yu A1 Chen, Xusong A1 Liu, Hu A1 Lu, Jing A1 Zhao, Xiwei A1 Peng, Changping A1 Lin, Zhangang A1 Shao, Jingping PB ACM YR 2022 K1 Click-through Rate K1 Online Advertising K1 Recommendation System K1 Search Engine K1 Information systems K1 Computing methodologies K1 Information systems applications K1 World Wide Web K1 Machine learning K1 Data mining K1 Theory of computation K1 Theory and algorithms for application domains K1 Machine learning theory K1 Machine learning approaches SP 246 OP 255 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3485447.3511953 DO https://dl.acm.org/doi/10.1145/3485447.3511953 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
