TY  - JOUR
AB  - Purpose This paper aims to make it convenient for those who have only just begun their research into Community Question Answering (CQA) expert recommendation, and for those who are already concerned with this issue, to ease the extension of our understanding with future research.Design/methodology/approach In this paper, keywords such as “CQA”, “Social Question Answering”, “expert recommendation”, “question routing” and “expert finding” are used to search major digital libraries. The final sample includes a list of 83 relevant articles authored in academia as well as industry that have been published from January 1, 2008 to March 1, 2019.Findings This study proposes a comprehensive framework to categorize extant studies into three broad areas of CQA expert recommendation research: understanding profile modeling, recommendation approaches and recommendation system impacts.Originality/value This paper focuses on discussing and sorting out the key research issues from these three research genres. Finally, it was found that conflicting and contradictory research results and research gaps in the existing research, and then put forward the urgent research topics.
VL  - 3
IS  - 3
SN  - 2398-7294
DO  - 10.1108/IJCS-03-2019-0011
UR  - https://doi.org/10.1108/IJCS-03-2019-0011
AU  - Yang Zhengfa
AU  - Liu Qian
AU  - Sun Baowen
AU  - Zhao Xin
PY  - 2019
Y1  - 2019/01/01
TI  - Expert recommendation in community question answering: a review and future direction
T2  - International Journal of Crowd Science
PB  - Emerald Publishing Limited
SP  - 348
EP  - 372
Y2  - 2024/04/24
ER  -