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

External URL

https://www.ama.org/wp-content/uploads/2022/02/2022-AMA-Winter-Conference-Proceedings-2.pdf

Comments

https://www.ama.org/wp-content/uploads/2022/02/2022-AMA-Winter-Conference-Proceedings-2.pdf

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Marketing Commons

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