Research On Mobile Reading Service System Based On Personalized Recommendation

With the rapid development of mobile Internet technology, using mobile phones for mobile readings is becoming common, and particularly for reading network literary works. But for the mobile reading service system providers, how to make users find what they are really interesting in quickly and efficiently is becoming a huge challenge. Personalized recommendation technology can solve this problem.Currently there are many kinds of personalized recommendation technology. Both content-based personalized recommendation technology and collaborative filtering technology are widely used. However, in the recommendation for network literary works, the two technologies both have some deficiencies.In this paper a new user interest degree calculation method and a new user interest model are introduced based on the research on the features of mobile readings.Because the content-based personalized recommendation technology can not discover new interest points for users, this paper proposes a mixed recommendation method by the combination of collaborative filtering technology.Finally, to promote information service ability, the design of a mobile reading service system based on personalized recommendation is described. And by the data analysis we confirmed the effectiveness of the system.