Research On Intelligent Communication Based On Algorithm

At present,domestic Internet technology and digital technology are developing rapidly,the threshold for surfing the Internet is gradually lowered,and the scale of domestic mobile phone users is constantly expanding.The traditional media portals and paper news can no longer meet the personalized needs of mobile phone users.The news client has quickly attracted the attention of the audience with the advantages of convenience and quickness,and the audience can browse and read news information anytime and anywhere.At present,the news client has become the main channel for mobile phone users to obtain news information.The news client can be roughly divided into traditional media transformation news client,portal news client and aggregation news client.Today’s Headline,as an early-born aggregated news client,has broken the pattern of domestic news clients and changed the distribution form of news content.In particular,the personalized recommendation technology developed by Today’s Headline has strong advantages.Today’s Headline itself does not produce content,but pays more attention to building an information aggregation platform,and every user can apply for a unique headline number to create content,and get cash benefits according to content traffic data.Many headline creators have gained a lot of economic benefits by continuously creating content.With this operation mode,"Today Headline" has gradually become one of the largest and fastest-growing platforms among domestic news clients.In this paper,"Today Headline",an aggregated news information platform,is taken as the main research object.With the help of the "gatekeeper" theory,the gatekeeper mechanism and operation strategy of "Today Headline" algorithm are emphatically analyzed,and the risk problems brought by "Today Headline" algorithm technology are emphatically analyzed,and relevant targeted countermeasures and suggestions are put forward.The first part combs the research background and significance,related concepts and theories,research contents and methods on the basis of reading a large number of documents.The second part introduces the "Today Headline" client,including the platform overview,development status and function construction of "Today Headline".The third part focuses on the analysis of the algorithm strategy system of "Today’s Headlines",focusing on three perspectives: algorithm operation strategy,operational characteristics of algorithm recommendation and content output logic of algorithm push,focusing on algorithm recommendation and algorithm check,highlighting the application value of the algorithm in the platform;The fourth part is about the risk analysis of today’s headlines in the process of information dissemination,revealing the surface and deep problems exposed by the algorithm one by one;The fifth part is to put forward some suggestions on the risks exposed by the previous algorithm,hoping to provide some thoughts for the future development of today’s headlines,and also hope to provide certain theoretical and practical significance for the transformation and upgrading of domestic traditional media and new media clients.