How can algorithms help in segmenting users and customers? : a systematic review and research agenda for algorithmic customer segmentation
Year of publication: |
2023
|
---|---|
Authors: | Salminen, Joni ; Mustak, Mekhail ; Sufyan, Muhammad ; Jansen, Bernard J. |
Published in: |
Journal of marketing analytics : JMA. - Houndmills : Palgrave Macmillan, ISSN 2050-3326, ZDB-ID 2735891-4. - Vol. 11.2023, 4, p. 677-692
|
Subject: | AI | Algorithms | Customer segmentation | Machine learning | Deregulierung | Deregulation | Algorithmus | Algorithm | Marktsegmentierung | Market segmentation | Beziehungsmarketing | Relationship marketing | Künstliche Intelligenz | Artificial intelligence | Zielgruppe | Target group | Operations Research | Operations research | Marketingmanagement | Marketing management | Bibliometrie | Bibliometrics |
-
Use of autoencoder and one-hot encoding for customer segmentation
Smutek, Tomasz, (2024)
-
A new user segmentation model for e-government
Tang, Ran, (2013)
-
Die Self-Organizing Map (SOM) : eine alternative Methode zur Segmentierung von Märkten
Bauer, Erich, (2007)
- More ...
-
Gulfraz, Muhammad Bilal, (2022)
-
Aleem, Majid, (2023)
-
Artificial intelligence in marketing : topic modeling, scientometric analysis, and research agenda
Mustak, Mekhail, (2021)
- More ...