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
Privileged Features Distillation at Taobao Recommendations:
, In:
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
,
Xu, Chen
;
Li, Quan
;
Ge, Junfeng
... - p. 2590-2598 , 2020
Link:
https://dl.acm.org/doi/10.1145/3394486.3403309
RT T1
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
: T1
Privileged Features Distillation at Taobao Recommendations
UL https://suche.suub.uni-bremen.de/peid=acm-3403309&Exemplar=1&LAN=DE A1 Xu, Chen A1 Li, Quan A1 Ge, Junfeng A1 Gao, Jinyang A1 Yang, Xiaoyong A1 Pei, Changhua A1 Sun, Fei A1 Wu, Jian A1 Sun, Hanxiao A1 Ou, Wenwu PB ACM YR 2020 K1 ctr K1 cvr K1 distillation K1 e-commerce recommendations K1 privileged features K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Learning paradigms K1 Supervised learning K1 Supervised learning by regression SP 2590 OP 2598 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3394486.3403309 DO https://dl.acm.org/doi/10.1145/3394486.3403309 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)