Describing rosé: An embedding-based method for measuring preferences

• المؤلفون الرئيسيون: MUKHERJEE, Anirban, CHANG, Hannah H.
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2022
• الموضوعات: preference measurement; embedding; machine learning; marketing; Marketing
• الوصول للمادة أونلاين: 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

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.