Which goods are most likely to be subject to click farming? An evidence from the Taobao platform
作者：
Highlights：
• We conduct an empirical analysis of click farming on the Taobao platform in China.
• We extract several new features with our own experience in click farming.
• We identify click farming and compare its behavior on different categories of goods.
• We conduct importance analysis and partial dependence analysis to do further study.
• The results confirm the effectiveness of our features in identifying click farming.
摘要
•We conduct an empirical analysis of click farming on the Taobao platform in China.•We extract several new features with our own experience in click farming.•We identify click farming and compare its behavior on different categories of goods.•We conduct importance analysis and partial dependence analysis to do further study.•The results confirm the effectiveness of our features in identifying click farming.
论文关键词：Click farming,Online goods,PU learning,Weighted random forest,Taobao
论文评审过程：Received 19 October 2020, Revised 26 September 2021, Accepted 16 November 2021, Available online 20 November 2021, Version of Record 23 November 2021.
论文官网地址：https://doi.org/10.1016/j.elerap.2021.101107
