Features selection as a Nash-bargaining solution : applications in online advertising and information systems
Year of publication: |
2022
|
---|---|
Authors: | Keshanian, Kimia ; Zantedeschi, Daniel ; Dutta, Kaushik |
Published in: |
INFORMS journal on computing : JOC ; charting new directions in operations research and computer science ; a journal of the Institute for Operations Research and the Management Sciences. - Linthicum, Md. : INFORMS, ISSN 1526-5528, ZDB-ID 2004082-9. - Vol. 34.2022, 5, p. 2485-2501
|
Subject: | feature selection | game theory | information systems | Nash social welfare | online advertising | Online-Marketing | Internet marketing | Spieltheorie | Game theory | Informationssystem | Information system | Betriebliches Informationssystem | Business intelligence system |
-
Artificial intelligence in interactive marketing : a conceptual framework and research agenda
Peltier, James W., (2024)
-
Investigating innovations in information systems : how to evaluate the m-advertising effectiveness?
Hérault, Stéphanie, (2013)
-
A game-theoretical model for inter-organisational collaboration in information systems development
Chou, P. Ben, (2011)
- More ...
-
Mobile advertisement campaigns for boosting in-store visits : a design framework and case study
Keshanian, Kimia, (2023)
-
Adaptive Ad Network Selection for Publisher‐Return Optimization in Mobile‐App Advertising
Adikari, Shalinda, (2020)
-
India means business : how the elephant earned its stripes
Kaushik, Kshama V., (2012)
- More ...