Personalized Recommendation News Client Push Mode Research

With the application of mobile Internet technology and the arrival of large data age,with the user information to collect analysis,screening and timely push to the user's technology matures,which makes the positioning of the "precision push" mobile news clients have emerged.In the relevant information found in recent years,personalized recommendation news client rapid development in the mobile news client market occupies a large proportion.This paper will start with the market situation of mobile news clients,and focus on the unique push mode of personalized recommendation news clients.The first part is the overview and introduction of the mobile news client.It introduces the definition,type and characteristics of the mobile news client in detail,and starts from the market report of the current mobile news client and find the personalized recommendation news client End of the market characteristics,for the next step to make bedding.The second chapter is to study the push mode of the personalized recommendation news client.Firstly,it defines the personalized recommendation news client,and then takes the headline as an example to study the model of the push.In the third chapter,we find out the problems in the first two chapters,and give a detailed overview of homogenization problems,user information security problems and recommended algorithm problems in the push mode.The fourth chapter is the proposed countermeasures to solve the problems raised in the third chapter,including the optimization of algorithms and the guarantee of user information security,so as to provide some ideas for the future development of personalized recommendation news clients.