Research On Socialized Reading APP Operation Mode Under The Background Of Big Data

With the rapid development of big data analysis technology and internet interaction technology,reader-centered,new reading modes emphasizing interaction,sharing,communication,and social networking have gradually become the mainstream of reading,and the rapid development of the headlines in recent years has aroused the academic world.With the attention of the industry,the value orientation of the algorithm has become the focus of public opinion debate.The operation model based on the algorithm is an effective guarantee for the continuous development of today's headlines.This article is intended to analyze the classic case of today's headline operations and provide reference for the development of the entire industry.The development of the cultural industry can better promote the entire population.The development of reading provides a good social environment for all citizens to read.This article focuses on case analysis and literature analysis methods.Based on the analysis of today's headlines personalized recommendation technology,this paper analyzes the new operating model of Internet companies under the influence of the algorithm.At the content operation level,we analyzed the content operation model of "Content Aggregation + Personalized Recommendation" in the three dimensions of content type,content source,and content distribution model.At the user operation level,three aspects are user experience,user incentive,and user retention.This paper analyzes the headline-centered social model of today's headlines.At the market operation level,it analyzes today's headline technology's brand operation model and specifically analyzes the company's profit model and the company's specific initiatives to use the brand strategy to dominate the market.Through the analysis of today's headline operation model,the article finally proposes suggestions for the future operation mode of socialized reading APP,from the perspectives of the enterprise itself,the government,and the law,and at the enterprise level,changes the content ecology and enhances interaction with users.Implement personalized and accurate communication and establish a sense of corporate social responsibility.At the government level,increase enforcement of new media supervision;at the legal level,improve relevant laws and regulations.