Potential buyer identification and purchase likelihood quantification by mining user-generated content on social media
作者：
Highlights：
• To identify potential buyers from social media by mining UGC.
• A novel WRFS model to quantify purchase likelihood of potential buyers.
• WRFS model advances the RFM model and some existing RFM variants.
• WRFS model adds new theoretical and empirical methods for precision marketing.
• A validation experiment illustrates the accuracy of the proposed method.
摘要
•To identify potential buyers from social media by mining UGC.•A novel WRFS model to quantify purchase likelihood of potential buyers.•WRFS model advances the RFM model and some existing RFM variants.•WRFS model adds new theoretical and empirical methods for precision marketing.•A validation experiment illustrates the accuracy of the proposed method.
论文关键词：Potential buyer identification,Purchase likelihood quantification,User-generated content,Social media,Data mining,Automotive forum
论文评审过程：Received 28 January 2021, Revised 6 July 2021, Accepted 9 September 2021, Available online 20 September 2021, Version of Record 20 September 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.115899
