| With the development of internet technology,the cost of information production o,information dissemination and information accession are all reduced,and the information overload is approaching,it's urgently to need a tool for resolving information distribution.When Today Headline which used personalized recommendation as the main feature appeared,it quickly occupied the market with resort to provid characteristic services.But with the content is low quality,information homogeneity and other issues.Based on the theory of "information cocoon",the present thesis,by means of literature analysis and case-study,examines the personalized recommended news system of Daily Headline,and probes into the personalized recommendation technology,recommended content,manual intervention and users,to pry into the information Cocoons which influenced by the personalized recommendation.This article found that the personalized recommendation grasps the needs of users in the technical,and caters to the masses' aesthetic interests,and some users lack of media literacy,all these problems are easily lead to information cocoons effect.However,the author also found that moderate manual intervention could weaken the effect.On the basis of this analysis,this paper puts forward the optimization model of the personalized recommendation of "high-quality user guidance and disseminator and receiver co-establishing " based on the autonomy and variety of user.the author intends to reconstruct personalized recommended news system by expanding users' information accession demands,promoting the quality of information pool,improveing users' media literacy,in oder to provide ideas for sustained development of personalized recommended news system and provide reference for building an open,excellent network information environment. |
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