Identifying and modeling the dynamic evolution of niche preferences

作者：

Highlights：

• We propose the methods to identify and model the dynamic evolution of niche preferences.

• Our methods introduce a binary variable to automatically distinguish the general preferences and niche preferences from user-generated content.

• Extensive experiments indicate that the proposed methods can effectively identify the niche preferences, model the evolutionary trends, and discover targeted users.

摘要

•We propose the methods to identify and model the dynamic evolution of niche preferences.•Our methods introduce a binary variable to automatically distinguish the general preferences and niche preferences from user-generated content.•Extensive experiments indicate that the proposed methods can effectively identify the niche preferences, model the evolutionary trends, and discover targeted users.

论文关键词：Niche preference,Meaning,Dynamic Evolution,Targeted Users,User-generated Content,Topic models

论文评审过程：Received 25 May 2021, Revised 10 November 2021, Accepted 3 January 2022, Available online 7 January 2022, Version of Record 7 February 2022.

论文官网地址：https://doi.org/10.1016/j.elerap.2022.101117