GenderPredictor: A Method to Predict Gender of Customers from E-commerce Website

Meng Zhao
Meng Zhao
Hui Zhang
Hui Zhang
Wei Wang 0061
Wei Wang 0061

WI-IAT, pp. 13-16, 2015.

Cited by: 5|Views7
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Abstract:

While e-commerce has grown substantially over last several years, more and more people are utilizing this popular channel to purchase products and services. Thus the ability to predict user demographics, including gender, age and location has important applications in advertising, personalization, and recommendation. In this paper, we aim...More

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