Recommendation strategies analysis in E-commerce

With the development of personalized recommendation research, it has become increasingly important that how to select proper technology to set up recommendation system. In this paper, a few familiar personalized recommendation technologies are introduced briefly at first, while their characters are also analyzed. Then, corresponding strategies are put forward according to characteristics of products and guests. Structures of personalized recommendation system are suggested and their work principles are analyzed.