International Journal of Computer Science and Mobile Computing (IJCSMC)
From past few years community Question Answering (cQA) services have gained enormous popularity. It basically allows members of community to post and answer questions and also enables general users to obtain information from a comprehensive set of properly answered questions. However, existing cQA firms usually provide only textual answers, which are not informative enough for numerous questions. Through this paper, the authors propose an idea that is capable to enrich textual answers in cQA with appropriate and meaningful media data.