Research for personalized recommendation of learning resource in mobile computing context

Abstract

A technology for mobile internet of new generation provides seamless support for mobile learning. With the growth of its resources and services, information overload is the main factor disturbing the improvement of mobile learning performance. From the perspective of personalized service, in the light of personalized needs from learning resource, contextualization, and intellectualization of mobile learning, this paper builds a model of resource recommendation for mobile learning, and analyzes key technologies for personalized resource recommendation in mobile computing environment.