Identifying and predicting the desire to help in social question and answering

作者：

Highlights：

• Evaluate the effectiveness of question routing systems in the social Q&A process.

• Find that individuals are more willing to share their knowledge under question routing context whereas less connected.

• Build an effective model to automatically identify active knowledge sharers from non-shares using non-Q&A features from four dimensions: profile, posting behavior, language style, and social activities.

摘要

•Evaluate the effectiveness of question routing systems in the social Q&A process.•Find that individuals are more willing to share their knowledge under question routing context whereas less connected.•Build an effective model to automatically identify active knowledge sharers from non-shares using non-Q&A features from four dimensions: profile, posting behavior, language style, and social activities.

论文关键词：Social Q&A,Question routing,Online information seeking,Social networks,Twitter,Predictive model

论文评审过程：Received 3 September 2015, Revised 12 April 2016, Accepted 2 May 2016, Available online 18 November 2016, Version of Record 19 January 2017.

论文官网地址：https://doi.org/10.1016/j.ipm.2016.05.001