Mining user requirements to facilitate mobile app quality upgrades with big data

作者：

Highlights：

• A novel ranking model is proposed to rank the importance of customer requirements.

• The rating data and review data are combined for feature engineering.

• Context-award text analytics is suggested for customer requirement mining.

• Companies are benefit to adopt online customer requirements for product improvements.

摘要

•A novel ranking model is proposed to rank the importance of customer requirements.•The rating data and review data are combined for feature engineering.•Context-award text analytics is suggested for customer requirement mining.•Companies are benefit to adopt online customer requirements for product improvements.

论文关键词：User requirements,Product upgrades,Data mining,Text analytics,Mobile apps

论文评审过程：Received 24 December 2018, Revised 30 August 2019, Accepted 31 August 2019, Available online 26 September 2019, Version of Record 4 October 2019.

论文官网地址：https://doi.org/10.1016/j.elerap.2019.100889