What identifies different age cohorts in Yahoo! Answers?
作者：
Highlights：
• Large-scale exploratory and predictive analysis of age cohorts across cQA platforms.
• Numerous types of approaches tested coupled with assorted features.
• Millennials are answering questions prompted by their succeeding age group (GEN Z).
• User activity and sentimentally charged words provide telltale clues about age groups.
• Effective models for age cohorts and question intent are strikingly similar.
摘要
•Large-scale exploratory and predictive analysis of age cohorts across cQA platforms.•Numerous types of approaches tested coupled with assorted features.•Millennials are answering questions prompted by their succeeding age group (GEN Z).•User activity and sentimentally charged words provide telltale clues about age groups.•Effective models for age cohorts and question intent are strikingly similar.
论文关键词：Intelligent information retrieval,Community question answering,User demographic analysis,Natural language processing
论文评审过程：Received 15 November 2020, Revised 29 June 2021, Accepted 30 June 2021, Available online 7 July 2021, Version of Record 12 July 2021.
论文官网地址：https://doi.org/10.1016/j.knosys.2021.107278
