Describing rosé: An embedding-based method for measuring preferences

Describing rosé: An embedding-based method for measuring preferences

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.

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Bibliographic Details
Main Authors: MUKHERJEE, Anirban, CHANG, Hannah H.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2022
Subjects:
preference measurement
embedding
machine learning
marketing
Marketing
Online Access:https://ink.library.smu.edu.sg/lkcsb_research/6981
https://ink.library.smu.edu.sg/context/lkcsb_research/article/7980/viewcontent/2022_AMA_Winter_Conference_Proceedings_2.pdf
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/lkcsb_research/6981
https://ink.library.smu.edu.sg/context/lkcsb_research/article/7980/viewcontent/2022_AMA_Winter_Conference_Proceedings_2.pdf

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