Aggregate News Recommendation Research For Aggregated News Clients

With the rapid development of mobile Internet and the popularity of smart phones,news clients in the mobile phone users in the penetration rate gradually increased,the domestic news client competition is becoming increasingly fierce,and therefore lead to homogeneity and many other issues.In the context of the era of large data,by virtue of the personalized recommendation of technical advantages and the audience as the center of the concept of rapid emergence,to seize the mobile side of the information portal,the "today's headline","a little information" and other representatives of the aggregation of news clients.This paper is based on the fact that the rapid development of aggregated news clients,the recommendation of personalized news as an important competitive point in the news market,the use of the theory of communication,combined with representative aggregation news client product analysis,systematically discussed this the client's personalized news recommendation strategy,extracted with the advantages of news aggregation recommended,a variety of recommendations,the "user initiative" to help accurate recommended and other core elements.On this basis,this paper summarizes the problems existing in the aggregation news client and analyzes its causes,and provides some suggestions for the development of such clients and the construction of media ecosystems.