| With the continuous development of mobile Internet, mobile phone news client became the most users the main channel to get news. In the client to provide real-time news, mobile, and the fragmentation of reading experience at the same time, information overload and the problem of product homogeneity is also growing. Represented by "today’s headline" personalized news recommendation systems, information dissemination channels into the personal and social segmentation model.Based on the Personalized Recommendation News System as the research object, in the framework of "Use and Satisfaction", the discussion of Today Headlines user requirements meet the situation. First the concept of Today Headlines and personalized recommendation system news media characteristics are summarized, and then, through the method of questionnaire, the investigation into Today Headlines the usage of the user, the effects of media exposure on user behavior motivation and meet the situation. Preliminary analysis, personalized news recommendation systems effectively restrain the information overload, provided the information to match the user’s needs, and the more understand users increased with the increase of using time.Personalized news, however, recommend to meet user demand, there are still some problems, such as information cocoon room, no checks. Through the analysis of the pros and cons of personalized news recommended, to press the future development to provide some reference for the client. |
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