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MIS Distinguished Speaker Series

Temple University

May 4 – Alexander Tuzhilin to Present “Learning to Generate Indistinguishable Product Reviews”

April 27, 2018 By Jing Gong

Learning to Generate Indistinguishable Product Reviews

by

Alexander Tuzhilin

Professor of Information Systems and the Leonard N. Stern Professor of Business

NYU Stern School of Business

Friday, May 4, 2018

10:30 AM – noon

Speakman Hall Suite 200

 

Abstract

In this paper, we purpose a novel method called RevGAN to generate user reviews using a combination of Hierarchical AutoEncoder (hAE) and Conditional GAN (cGAN). We describe the proposed method and empirically demonstrate that it significantly outperforms several important benchmarks on the Amazon Review Dataset, and is also empirically indistinguishable from organic user reviews.

Tagged With: Alexander Tuzhilin, NYU, Product Reviews

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