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@article{146569,
        author = {K. Praveen Kumar and P. Krishnaiah},
        title = {AN ONLINE SOCIAL NETWORK BASED QUESTION AND ANSWER SYSTEM WITH LARGE USER BASE},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {5},
        number = {1},
        pages = {37-42},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=146569},
        abstract = {Q&A systems are used by many people for purposes such as information and knowledge sharing and these systems plays an important role in people’s daily life. Q&A systems also preserve all questions and answers, thus acting as a repository for information retrieval. They are not only important for sharing technical knowledge, but also as a source for receiving advice and satisfying one’s curiosity about a wide variety of subjects.In the existing system, to improve the performance of Q&A systems by actively forwarding questions to users who are capable and willing to answer the questions a SocialQ&A, an online social network based Q&A system is implemented. SocialQ&A directly utilizes the social network property of mutual-trust friendship to motivate users to provide answers and also enhance the user security. This SocialQ&A system also improve the quality of answers and decrease answer wait time. In proposed system, this will cooperate with other techniques into SocialQ&A to find the redundant question with a large scale user set. Due to the dynamic of user behavior, SocialQ&A can measure the user life styles with  high similarity. This will conduct tests on a large user base in the real-world experiment.   },
        keywords = {Question and answer system, On-line social network, non-factual questions, Peer to Peer system, and clustering technique},
        month = {},
        }