Analyzing and predicting knowledge of contributors in community question answering services
M. R. Sumalatha, N. Ahana Priyanka · 2016
Online education has become increasingly important as Internet technology continuously evolves various endeavours like info please, Wikipedia which helps to express and explore the information to the user. This web support provides the flexibility to improve and update their skill sets. Q&A sites provide a rapid growth that augments a regular links between the users. After a study, the knowledge Identity of user's shares only a few knowledge categories- this is due to lack of identification of individual expertise's area. To enhance the online social community service the intelligent contributor and their expertise are to be predicted. This collective knowledge share help the user to delivers the most accurate results. This approach automatically increase the adaption of more powerful friendship selection[7], identify the best and worst contributor for the question & reduce the spam in sharing when there is no desirable result. While analyzing the user's expertise, sharing and providing suggestion [9] to the user this improves the Q&A sites aspect and it enhances the Interaction Bridge and leverage. This method of social media knowledge thus improves user performance in Q&A services.