Learning Product Characteristics and Consumer Preferences from Search Data

The paper proposes a method to jointly learn latent product characteristics and consumer preferences from search data for accurate demand prediction.

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Publication Details

Journal
Marketing Science
Published
2024-12-10
DOI
https://doi.org/10.1287/mksc.2023.0118
Citations
2
Primary Topic
Consumer Market Behavior and Pricing
Type
article
Field-Weighted Citation Impact
0.88
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article

Learning Product Characteristics and Consumer Preferences from Search Data

Greg Lewis, Luis Armona, Georgios Zervas
2 citations
Marketing Science
Consumer Market Behavior and Pricing
0.88
article

Learning Product Characteristics and Consumer Preferences from Search Data

Greg Lewis, Luis Armona, Georgios Zervas
article en
2 citations

Abstract

The paper proposes a method to jointly learn latent product characteristics and consumer preferences from search data for accurate demand prediction.

Marketing ScienceVol. 44(4)
Harvard University Press (US)
Decent work and economic growth
Openalex Percentile: Top 18%
Consumer Market Behavior and Pricing
0.88
DOISourceOpenAlex
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Learning Product Characteristics and Consumer Preferences from Search Data — Greg Lewis, Luis Armona, et al. · Marketing Science (2024) | TGRS Research Map | TGRS