Design and implementation of a recommender system to introducing experts in an online forums

Abstract

Online communities as a main element in local electronic training are a place to share questions and different opinions. One of the main objectives of online communities is to find the best solution in the least possible time. However, the high number of questions submitted in time prevents us from achieving the goal. In this paper, recommendation system is designed to filter out respondents range by applying an expert finding algorithm so that each user will receive question within his or her own level of knowledge. Making use of an expert finding algorithm, all users will be classified based upon their level of knowledge and then filtering will be applied on the set of derived dataset. The recommender system assessment shows that the operation of experts has been improved. Therefore, this utility can be used to help improve e-learning.