产品(数学)
计算机科学
营销
机器学习
业务
数学
几何学
作者
Luis Armona,Greg Lewis,Georgios Zervas
出处
期刊:Marketing Science
[Institute for Operations Research and the Management Sciences]
日期:2024-12-10
标识
DOI:10.1287/mksc.2023.0118
摘要
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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