Research of personalized recommendation system based on client interest model in the smart mobile phone

The problem of information overload and resource disorientation in smart mobile phone made it hard for mobile client to find the interesting products and services, by referring to the useful information stored in log files, the paper proposes a personalized recommendation system based on client interest model to solve the above problem and protect the client´s privacy better. Firstly, the procedure of system is introduced in detail. Secondly, the paper presents the concepts of interest degree to application, then the client interest model is designed and the recommendation algorithm is analyzed. The experiments and questionnaire to Symbian client have shown that the recommendation algorithm proposed in the paper can exploit the true client interest, and proved the effectiveness and feasibility of algorithm, which is important to design the personalized recommendation software in future.