Ranking online consumer reviews

作者：

Highlights：

• A regression prediction model is proposed to rank the reviews based on their quality.

• Results reveal that training the model only on high quality reviews performed better.

• We use two new features product description data and customer question answer data.

摘要

•A regression prediction model is proposed to rank the reviews based on their quality.•Results reveal that training the model only on high quality reviews performed better.•We use two new features product description data and customer question answer data.

论文关键词：Big data challenge,E-commerce,Helpfulness,Machine learning,Online reviews

论文评审过程：Received 11 January 2018, Revised 28 March 2018, Accepted 28 March 2018, Available online 29 March 2018, Version of Record 4 April 2018.

论文官网地址：https://doi.org/10.1016/j.elerap.2018.03.008