Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
2-2022
Abstract
In this paper, we present a novel preference-measurement method for experiential products and develop a novel embedding-based utility model to value product attributes and attribute-levels from participant choices between products described in (unstructured) prose.
Keywords
preference measurement, embedding, machine learning, marketing
Discipline
Marketing
Research Areas
Marketing
Publication
Proceedings of the 2022 AMA Winter Academic Conference Proceedings: Reconnecting and Reconceiving the Marketplace, Nevada, Las Vegas, February 18-20
Volume
33
First Page
149
Last Page
150
ISBN
9780877570127
Publisher
American Marketing Association
City or Country
Nevada, USA
Citation
MUKHERJEE, Anirban and CHANG, Hannah H..
Describing rosé: An embedding-based method for measuring preferences. (2022). Proceedings of the 2022 AMA Winter Academic Conference Proceedings: Reconnecting and Reconceiving the Marketplace, Nevada, Las Vegas, February 18-20. 33, 149-150.
Available at: https://ink.library.smu.edu.sg/lkcsb_research/6981
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Comments
https://www.ama.org/wp-content/uploads/2022/02/2022-AMA-Winter-Conference-Proceedings-2.pdf