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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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

id	sg-smu-ink.lkcsb_research-7980
record_format	dspace
spelling	sg-smu-ink.lkcsb_research-79802022-04-07T07:01:08Z Describing rosé: An embedding-based method for measuring preferences MUKHERJEE, Anirban CHANG, Hannah H. 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. 2022-02-01T08:00:00Z text application/pdf 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 http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University preference measurement embedding machine learning marketing Marketing
institution	Singapore Management University
building	SMU Libraries
continent	Asia
country	Singapore Singapore
content_provider	SMU Libraries
collection	InK@SMU
language	English
topic	preference measurement embedding machine learning marketing Marketing
spellingShingle	preference measurement embedding machine learning marketing Marketing MUKHERJEE, Anirban CHANG, Hannah H. Describing rosé: An embedding-based method for measuring preferences
description	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.
format	text
author	MUKHERJEE, Anirban CHANG, Hannah H.
author_facet	MUKHERJEE, Anirban CHANG, Hannah H.
author_sort	MUKHERJEE, Anirban
title	Describing rosé: An embedding-based method for measuring preferences
title_short	Describing rosé: An embedding-based method for measuring preferences
title_full	Describing rosé: An embedding-based method for measuring preferences
title_fullStr	Describing rosé: An embedding-based method for measuring preferences
title_full_unstemmed	Describing rosé: An embedding-based method for measuring preferences
title_sort	describing rosé: an embedding-based method for measuring preferences
publisher	Institutional Knowledge at Singapore Management University
publishDate	2022
url	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
_version_	1770576184600428544

Describing rosé: An embedding-based method for measuring preferences

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