User interaction using ExpertTop analysis
Sushant Patil, Nazneen Ansari · 2014
To look for expertise, continuous interaction with expert systems is necessary. In many of these systems, it is complicated for a user to decide whether the answer obtained is from a reliable and authenticated source. To overcome this issue, this study provides a new ranking algorithm, i.e., “ExpertTop” algorithm, which allows users to obtain accurate answers from reliable and authenticated sources. ExpertTop algorithm ranks the system experts based on experience and feedback provided through scores by the users and the co-experts within the system. For classifying the user's query, Naïve Bayesian algorithm is used. ExpertTop algorithm will assist users in obtaining results from reliable and authenticated sources, which will provide them satisfactory experience.