Main Article Content
Nowadays, question answering system is more convenient for the users, users ask question online and then they will get the answer of that question, but as browsing is primary need for each an individual, the number of users ask question and system will provide answer but the computation time increased as well as waiting time increased and same type of questions are asked by different users, system need to give same answers repeatedly to different users. To avoid this we propose PLANE technique which may quantitatively rank answer candidates from the relevant question pool. If users ask any question, then system provide answers in ranking form, then system recommend highest rank answer to the user. We proposing expert recommendation system, an expert will provide answer of the question which is asked by the user and we also implement sentence level clustering technique in which a single question have multiple answers, system provide most suitable answer to the question which is asked by the user.
How to Cite
, M. K. R. R. M. C. J. . (2018). Review Paper on Answers Selection and Recommendation in Community Question Answers System. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 4(1), 298–302. Retrieved from https://ijfrcsce.org/index.php/ijfrcsce/article/view/1009