User profiling and RSS Feeds Recommendation Based on the Ontological Approach

Abstract

Currently, the Web put up some limits such as the important flow of information produced by users. Also the bad quality of information (redundancy, useless information) causes a huge waste of time in searching for the right information. In this paper, we propose a new method of information personalization based on the ontological approach. This vision introduces an optimal recommendation for the personalized RSS (Really Simple Syndication) feed. It's based on the categorization of users' profile depending on their contributions (messages, publications), before recommending a personalized RSS feed for each profile.