Abstract
Community question answering (CQA) sites are being preferred by an increasingly large community of users for searching their queries related to the academic or non-academic domain. Generally good quality answer or comment is provided by the expert users on the posted questions. Hence, it is the developer’s responsibility to design a system that can to route the question in front of their experts. Recent researches on CQA websites confirmed that many questions remain unanswered. It may happen because the identified experts may not be active. To overcome this issue, in this paper, the user’s activities are investigated to identify active users. The main objective of this research is to identify the right user group that is active and capable of giving quality answers. This will help to improve the site’s reputation, content quality, and user participation on the site.
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Roy, P.K., Jain, A., Ahmad, Z., Singh, J.P. (2021). Identifying Expert Users on Question Answering Sites. In: Goyal, D., Bălaş, V.E., Mukherjee, A., Hugo C. de Albuquerque, V., Gupta, A.K. (eds) Information Management and Machine Intelligence. ICIMMI 2019. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-4936-6_32
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DOI: https://doi.org/10.1007/978-981-15-4936-6_32
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