The Study Of The Personalized Content Of Today's Headline

With the rapid development of the mobile Internet and the arrival of the era of information explosion,the traditional "one size fits all news dissemination model is no longer adapted to audience diversity and diversified information needs.The aggregation news client has emerged from the major news clients with its streamlined operations,sea-based quantitative information aggregation,personalized customized push and socialized reading modes,and quickly captured a large number of loyal users.However,while the aggregation news client brings personalized reading enjoyment to users,its disadvantages and existing problems are also increasingly prominent.Therefore,research on the problem of aggregation news client has important practical significance and application prospects.This article selects the most popular aggregation news client "Today's Headline"as a research object,using the Practical and Satisfying Theory as the theoretical support,and performing qualitative and quantitative analysis through text analysis,questionnaire survey and comparative analysis for its personalized recommendation content.Firstly,the content samples are analyzed and combed comprehensively from six aspects:"content source","content type","content title","content discourse","content orientation" and "content feedback".Then,based on "Today's Headline"personalized recommendation content "use and satisfaction" questionnaire survey,we analyze the degree of satisfaction from the four aspects of user cognitive needs,emotional needs,personal integration needs,and social integration needs.In order to explore some of the main issues in "Today's Headline" personalized recommendation content,both in terms of content itself and user evaluation.The final analysis shows that "Today's Headline" relies on its powerful algorithm recommendation mechanism,then can provide users with a wide variety of content and huge capacity,as well as bring about some user's experiences like instant updates,convenient social interaction etc.However,at the same time,this article also summarizes some of the problems in "Today's Headline" in terms of personalized recommendation content such as uneven quality of content,Supply and demand asymmetry,legal risk in copyright,public opinion,and so on.Therefore,in the end,this article proposes several suggestions for improving its content,including improving the accuracy of recommended content by improving the algorithm mechanism,predicting the interest of the audience and adjust the recommended content appropriately to avoid information room,strengthen gate-keeping,enhance content depth,increase quality and original columns to improve the overall level of content,strengthen the guidance of public opinion and create a good public opinion atmosphere,combining new technologies such as H5 and VR to enhance user interaction experience.During these way,we can further improve the overall quality of Today's Headline's personalized recommendations,and better meet the needs of users in all aspects.