Design And Implimentation Of Personalized Preferences Acquisition System Based On User's Context History

In the field of mobile, This model of Personalized service has aroused the concern in the telecommunications industry all over the world.However, the development of personalized service is defferent. Drawing on the experiences of failure and success stories, we found that the key point to success is how to extract the user's preference information and how to provide a better personalized service.This paper is to explore a method of extracting user's preferences.There are two main methods to obtain personalized preferences in the existing studies. On the one hand, researchers focus on the method of data mining and analysis. On the other hand, researchers reason and extract user's preferences simply by the current context. Both of them are desirable, but suffer from drawbacks respectively. This paper propose a new approach which combines the merits of them to extract the personalized preferences of users.This article contains the following parts:The first chapter describes the background of system and the content of the study. The second chapter is the introduction of related theorys. The third chapter describes the requirements of the system; The fourth chapter describes the key technologies of the system. The fifth chapter is about the design and implementation of system. Chapter six contains the testing of the system and narrates some of the key issues and appropriate solutions. The last part mainly contains the summary of the work and makes some suggestions for the future work.