CluSoAF: A cluster-based semantic oriented analyzing framework for user behaviors in mobile learning environment

Abstract

The rapid development of communication technology boosts the emergence of mobile learning and offers people the opportunity to get education in a brand new way. User behavior analysis is very important in the mobile learning environment. In this paper we propose a cluster based framework Clu-SoAF to analyze the user behaviors and then using semantic similarity to conduct resources recommendation for users. Compared with other works, the Clu-SoAF we proposed in this paper is highly flexible and can achieve satisfying performance.