Search clicks analysis for discovering temporally anchored questions in community Question Answering

作者：

Highlights：

• We study temporal click patterns across search query logs in relation to cQA pages.

• Search activity analysis helps to define three temporal interests for cQA questions.

• We automatically tagged 35,000 questions according to these temporal anchors.

• Our approach was validated by two judges; and by predicting anchors on unseen data.

• Our outcomes indicate that some contexts are related to a particular temporal anchor.

摘要

•We study temporal click patterns across search query logs in relation to cQA pages.•Search activity analysis helps to define three temporal interests for cQA questions.•We automatically tagged 35,000 questions according to these temporal anchors.•Our approach was validated by two judges; and by predicting anchors on unseen data.•Our outcomes indicate that some contexts are related to a particular temporal anchor.

论文关键词：Community Question-Answering,Question analysis,Temporality,Question classification,User search activity,User generated content

论文评审过程：Received 18 September 2015, Revised 27 November 2015, Accepted 15 December 2015, Available online 30 December 2015, Version of Record 14 January 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.12.016