Recency and quality-based ranking question in CQAs: A Stack Overflow case study

作者：

Highlights：

• An automatic proposal for quality and recency-based answer ranking.

• Proposal of new features to ranking the answers.

• Evaluation and analysis of nine L2R algorithms.

• Feature analysis, showing that recency features improve the ranking performance.

摘要

•An automatic proposal for quality and recency-based answer ranking.•Proposal of new features to ranking the answers.•Evaluation and analysis of nine L2R algorithms.•Feature analysis, showing that recency features improve the ranking performance.

论文关键词：Community-based question answering,CQA ranking,Recency ranking,Quality ranking,Learning to rank,Recency features,Quality features,Textual features,Non-textual features

论文评审过程：Received 6 October 2020, Revised 2 February 2021, Accepted 17 February 2021, Available online 23 March 2021, Version of Record 23 March 2021.

论文官网地址：https://doi.org/10.1016/j.ipm.2021.102552