Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology
ISSN: 2321-3337 Impact Factor:1.521 Volume:4 Issue:1 Year: 19 December,2014 Pages:375-383
Question and Answer (Q&A) system on social search engines provide a way for retrieving an information to motivate the people to answer the questions. These Questions can get High-Quality answers but it does not able to balance the needs of the question askers because some askers may want answers urgently but instead they waiting long time for the friends reply without getting answers for their questions and by these it also occur high server Bandwidth. In this paper, we propose personalized social search with cloud based Q&A system that provide quick response for the question askers. These Q&A services can share non-factual queries and also colloquial languages. Here the askers sharing questions is feasible and we can also use large resources to store the information. We also analyze the appropriate settings for the Time-To-Live (TTL) value, for TTL-Limited flooding, that provides a satisfactory success ratio and it avoids redundant message overhead.
Question and answer systems, Web search, online social networks.
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