Research Of Users And Gratifications Of Theory Of “Particle News”

With the development of Internet,mobile news client becomes the main path for most users to get news.Mobile news client can satisfy audience for reading news at anytime and anywhere by providing real-time and mobile reading experience.However,the problem of product homogeneity becomes more and more serious at the time when mobile news client provide continence reading experience for audience.In recent years,along with the news client updates and iteration,the emergence of the news client of the personalized recommendation system makes dissemination of information into the personalized and accurate segmentation mode,and the machine algorithm becomes one of the mainstream technologies of the distribution of news content.Among them,"Particle News",with its "recommendation + search + subscription" mode,becomes a representative of the new news client in the news of the sudden emergence of a large number of mobile news clients.This paper chooses the method of questionnaire survey method and interview method,with the users of "Particle News" as research object,to make an investigation and analysis on the motivation and satisfaction of the media contact behavior of the "Particle News" from five aspects of cognition of audience needs,emotional needs,personal needs and social integration needs,alleviate the pressure of needs on the basis of the uses and gratifications theory.It is concluded that personalized recommendation system has a unique advantage in content distribution.With the increase of the using time,"Particle News" can get the user’s preferences in a certain extent,then to recommend the accurate information to users.At the same time,this paper also summarizes the problems existing in the "Particle News",the quality of news content,the interactive mechanism and the algorithm of the machine needs to be improved.Finally,this paper puts forward some solutions,such as paying attention to the content construction,improving the algorithm mechanism,expanding the interactive function,and so on.