Recommending products when consumers learn their preference weights
Year of publication: |
2019
|
---|---|
Authors: | Dzyabura, Daria ; Hauser, John R. |
Published in: |
Marketing science. - Catonsville, MD : INFORMS, ISSN 0732-2399, ZDB-ID 883054-X. - Vol. 38.2019, 3, p. 417-441
|
Subject: | recommendation systems | learned preferences | multiattribute utility | consumer search | Konsumentenverhalten | Consumer behaviour | Personalisierung | Personalization | Präferenztheorie | Theory of preferences | Lernprozess | Learning process | Lernen | Learning | Nutzen | Utility | Konsumtheorie | Consumption theory |
-
Price-aware enhanced dynamic recommendation based on deep learning
Guo, Wenhao, (2023)
-
Review-based recommendation under preference uncertainty : an asymmetric deep learning framework
Xiong, Yingqiu, (2024)
-
Consumer learning and evolution of consumer brand preferences
Che, Hai, (2015)
- More ...
-
Active Machine Learning for Consideration Heuristics
Dzyabura, Daria, (2011)
-
Active Machine Learning for Consideration Heuristics
Dzyabura, Daria, (2011)
-
Recommending Products When Consumers Learn Their Preferences
Dzyabura, Daria, (2018)
- More ...