SocialQ&A: An Online Social Network Based Question and Answer System

• Published in: IEEE transactions on big data Vol. 3; no. 1; pp. 91 - 106
• Main Authors: Haiying Shen, Guoxin Liu, Haoyu Wang, Vithlani, Nikhil
• Format: Journal Article
• Language: English
• Published: 01.03.2017
• Subjects: Big data; Computers; information search; Knowledge engineering; Privacy; Question and answer systems; Search engines; Security; Social network services; social networks
• ISSN: 2332-7790; 2332-7790; 2372-2096
• DOI: 10.1109/TBDATA.2016.2629487

Question and Answer (Q&A) systems play a vital role in our daily life for information and knowledge sharing. Users post questions and pick questions to answer in the system. Due to the rapidly growing user population and the number of questions, it is unlikely for a user to stumble upon a question by chance that (s)he can answer. Also, altruism does not encourage all users to provide answers, not to mention high quality answers with a short answer wait time. The primary objective of this paper is to improve the performance of Q&A systems by actively forwarding questions to users who are capable and willing to answer the questions. To this end, we have designed and implemented SocialQ&A, an online social network based Q&A system. SocialQ&A leverages the social network properties of common-interest and mutual-trust friend relationship to identify an asker through friendship who are most likely to answer the question, and enhance the user security. We also improve SocialQ&A with security and efficiency enhancements by protecting user privacy and identifies, and retrieving answers automatically for recurrent questions. We describe the architecture and algorithms, and conducted comprehensive large-scale simulation to evaluate SocialQ&A in comparison with other methods. Our results suggest that social networks can be leveraged to improve the answer quality and asker's waiting time. We also implemented a real prototype of SocialQ&A, and analyze the Q&A behavior of real users and questions from a small-scale real-world SocialQ&A system.