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
Can Who-Edits-What Predict Edit Survival?:
, In:
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
,
Yardim, Ali Batuhan
;
Kristof, Victor
;
Maystre, Lucas
. - p. 2604-2613 , 2018
Link:
https://dl.acm.org/doi/10.1145/3219819.3219979
RT T1
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
: T1
Can Who-Edits-What Predict Edit Survival?
UL https://suche.suub.uni-bremen.de/peid=acm-3219979&Exemplar=1&LAN=DE A1 Yardim, Ali Batuhan A1 Kristof, Victor A1 Maystre, Lucas A1 Grossglauser, Matthias PB ACM YR 2018 K1 collaborative filtering K1 peer-production systems K1 ranking K1 user-generated content K1 Human-centered computing K1 Collaborative and social computing K1 Collaborative and social computing systems and tools K1 Reputation systems K1 Information systems K1 World Wide Web K1 Web mining K1 Computing methodologies K1 Machine learning SP 2604 OP 2613 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3219819.3219979 DO https://dl.acm.org/doi/10.1145/3219819.3219979 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)