How can machine learning aid behavioral marketing research?

被引：0

作者：

Linda Hagen

Kosuke Uetake

Nathan Yang

Bryan Bollinger

Allison J. B. Chaney

Daria Dzyabura

Jordan Etkin

Avi Goldfarb

Liu Liu

K. Sudhir

Yanwen Wang

James R. Wright

Ying Zhu

机构：

[1] University of Southern California,

[2] Yale University,undefined

[3] Cornell University,undefined

[4] New York University,undefined

[5] Duke University,undefined

[6] New Economic School,undefined

[7] University of Toronto,undefined

[8] University of Colorado Boulder,undefined

[9] Yale University,undefined

[10] University of British Columbia,undefined

[11] University of Alberta,undefined

[12] University of California San Diego,undefined

来源：

Marketing Letters | 2020年 / 31卷

关键词：

Behavioral science; Big data; Semi-supervised learning; Supervised learning; Unsupervised learning;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Behavioral science and machine learning have rapidly progressed in recent years. As there is growing interest among behavioral scholars to leverage machine learning, we present strategies for how these methods that can be of value to behavioral scientists using examples centered on behavioral research.

引用

页码：361 / 370

页数：9

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