| With the rapid development and popularization of mobile internet,mobile application(APP)has gradually become the main channel for people to obtain information.Among them,personalized recommendation technology is a necessity for all kinds of mobile applications,providing users with accurate and interested information content.The extensive use of personalized recommendation brings convenience to users and reduces the burden of information.But on the other hand,this kind of information push mechanism hides the narrowing risk of "information preference",which reduces the diversity of information and makes the information wor-ld incomplete.Therefore,based on the theory of network information behavior,combined with the characteristics of personalized recommendation in enterprise application,this paper establishes the influence path of personalized recommendation on network information behavior,and explores whether there is a narrow impact.Firstly,this paper analyses the relevant theoretical literature on network information behavior,personalized recommendation and information narrowing at home and abroad,and elaborates and summarizes the research status of the impact of personalized recommendation on network information behavior.Based on Wilson's information behavior theory,this paper constructs a path model of the impact of personalized recommendation on network information behavior.The specific research path is divided into two parts:one is to study the impact of personalized recommendation on information needs,the other is to study the impact of personalized recommendation on information search,mainly based on user behavior data.Whether it brings narrow information to users.Finally,according to the results of the two parts,the impact of personalized recommendation on network information behavior is obtained.It turns out that the narrowing effect of personalized recommendations has penetrated into the user's entire information behavior. |
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