Majority Vote method for preferences detection: Application for Social Networks
MEC · International Journal of Advanced Trends in Computer Science and Engineering · 2019
Most of recommender systems rely on the users' preferences to recommend items.With the increase of data and the number of users on the internet, the task of recommender system becomes more and more sophisticated.The fusion of users' preferences is a solution to facilitate that task.The resolution of this issue, helps in decreasing the run time of a recommender system.This research focuses on the issue of preference fusion in the context of social network.The aim of this research is to determine the collective preferences of users belonging to a given community based on their individual preferences.In particular, researchers are interested here in the representation of individual preferences, taking into account the uncertainty and imprecision phenomenon.In this research two methods are proposed: majority vote method and the Dempster Shafer theory of evidence.Experiments on generated datasets would highlight the interest of the proposed solution.