Optimizing user engagement through adaptive ad sequencing
Omid Rafieian
| Year of publication: |
2023
|
|---|---|
| Authors: | Rafieian, Omid |
| Published in: |
Marketing science. - Baltimore, Md. : INFORMS, ISSN 1526-548X, ZDB-ID 2023536-7. - Vol. 42.2023, 5, p. 910-933
|
| Subject: | adaptive interventions | advertising | dynamic programming | machine learning | offline reinforcement learning | personalization | policy evaluation | Künstliche Intelligenz | Artificial intelligence | Lernprozess | Learning process | Lernen | Learning | Dynamische Optimierung | Dynamic programming | Werbung | Advertising | Theorie | Theory | Konsumentenverhalten | Consumer behaviour | Scheduling-Verfahren | Scheduling problem |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1287/mksc.2022.1423 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014393384