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CRED: Credibility-Enabled Social Network Based QA System for Assessing Answers Correctness
Conference paper

CRED: Credibility-Enabled Social Network Based QA System for Assessing Answers Correctness

Imad Ali, Ronald Y. Chang and Cheng-Hsin Hsu
IEEE Wireless Communications and Networking Conference, WCNC, Vol.2020-May, 9120750
05/2020

Abstract

Engineering (all)
In a question answer (Q A) system, credible users provide answers of higher correctness. However, in a distributed social network based Q A (SNQ A) system, an asker does not know a k-hop answerer's credibility, thus making it difficult for the asker to assess the answer correctness. Therefore, a credibility-enabled distributed SNQ A system is crucial for determining the correctness of the answers. To this end, we propose CRED, a credibility-enabled distributed SNQ A system, which facilitates each user to assess the correctness of the provided answers. CRED utilizes subjective logic to build interestwise friend-to-friend credibility opinions under uncertainties. The developed opinions are then accumulated by CRED to get each user's aggregated credibility opinion, which may reflect the user's real credibility. CRED forwards a question to users with highest credibility beliefs in the question interest category. Our evaluation results show that, on average, CRED accomplishes higher success ratio, higher answer correctness, and lower answer uncertainty by 12.1%, 16.4%, and 22.2%, respectively, as compared to the best-performing baseline systems.

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