Research on personalization recommendation technology in mobile commerce

This article firstly analyzes the necessity of building an excellent recommendation system in mobile commerce. By reviewing and comparing previous research results, it raises a characteristic recommendation system based on weighting combined algorithm of content and collaborative filtering. And then puts forward the basic method of the weighting combined recommendation system, and the work flow with a flow chart. Based on two modules which are content filtering and user-based collaborative filtering algorithm, the basic model of the system is built, with the threshold initially set up. Also, it concludes the principle of threshold adjusting based on user feedback At the end of the article, it prospects the application of this technology in mobile commerce.