Comprehensive helpfulness of online reviews: A dynamic strategy for ranking reviews by intrinsic and extrinsic helpfulness

作者：

Highlights：

• The helpfulness of online reviews is measured from intrinsic and extrinsic perspectives.

• The review replies are incorporated to evaluate the helpfulness of online reviews.

• A method for conducting ICH-ECH plot for each product is designed.

• A DTAHR model for ranking reviews dynamically is proposed.

• A case study of three search products and three experience products is given.

摘要

•The helpfulness of online reviews is measured from intrinsic and extrinsic perspectives.•The review replies are incorporated to evaluate the helpfulness of online reviews.•A method for conducting ICH-ECH plot for each product is designed.•A DTAHR model for ranking reviews dynamically is proposed.•A case study of three search products and three experience products is given.

论文关键词：Online reviews,Intrinsic helpfulness (IH),Extrinsic helpfulness (EH),Ensemble neural network model (ENNM),Dynamic ranking strategy

论文评审过程：Received 26 March 2022, Revised 19 June 2022, Accepted 18 August 2022, Available online 28 August 2022, Version of Record 13 October 2022.

论文官网地址：https://doi.org/10.1016/j.dss.2022.113859