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
Exploiting contextual factors for click modeling in sponsor..:
, In:
Proceedings of the 7th ACM international conference on Web search and data mining
,
Yin, Dawei
;
Mei, Shike
;
Cao, Bin
.. - p. 113-122 , 2014
Link:
https://dl.acm.org/doi/10.1145/2556195.2556237
RT T1
Proceedings of the 7th ACM international conference on Web search and data mining
: T1
Exploiting contextual factors for click modeling in sponsored search
UL https://suche.suub.uni-bremen.de/peid=acm-2556237&Exemplar=1&LAN=DE A1 Yin, Dawei A1 Mei, Shike A1 Cao, Bin A1 Sun, Jian-Tao A1 Davison, Brian D. PB ACM YR 2014 K1 ad ctr prediction K1 click model K1 click through rate K1 ctr prediction K1 sponsored search K1 Information systems K1 Information retrieval SP 113 OP 122 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2556195.2556237 DO https://dl.acm.org/doi/10.1145/2556195.2556237 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)