Research On User Interest Mining Model Of Integrated Virtual Community

Based on the basic theory of interest mining,in the process of writing this article,for the research object of integrated virtual community,the author through the "Douban,Instant,Baidu Post Bar" and other integrated virtual community content sharing platform,and its similar "V2EX,digging The vertical virtual community with specific target groups maintains long-term attention,and uses literature analysis methods and empirical analysis to explore the community user interest mining model of the integrated virtual community,and based on these contents,the book is established.The research framework and technical methods of the thesis,and constantly correct and enrich the content and methods in the process of writing the thesis.The content of this paper is divided into six chapters.The research in each chapter mainly includes the following contents:The first chapter is the introduction part of this paper.It introduces the research background,research results,significance and significance,research results,main research contents,research methods and innovation points of domestic and foreign experts and scholars on interest mining.And from the academic point of view,the characteristics and shortcomings of the network virtual community and community-like network platform in the information age of rapid development of science and technology,and the main purpose of the paper.The second chapter mainly expounds the related concepts and theories involved in this paper,including the related concepts of virtual communities,the connotation,types and characteristics of virtual interest communities,the connotation of interest mining and the introduction of its characteristics.Theoretical preparation,and provide theoretical support for asking questions and solving problems.The third chapter first analyzes the users of the integrated virtual community,and analyzes the integrated virtual community users.The goal is to analyze the characteristics of the community and its responsibilities in the community.At the same time,the author combs the connections between users in the virtual community.Analyze the structu re of the virtual community user's needs;Then,analyze the goals that the virtual interest community ultimately wants to achieve,that is,achieve better quality,user-friendly interest sharing,effective interest information management,and ultimately achieve effective interest recommendation and efficiency within the community.Interest in push services.The fourth chapter is mainly to build a model of interest mining in virtual interest communities.Firstly,based on the topic model,the virtual interest community interest mining,data crawling on the target virtual interest platform,preprocessing and modeling the acquired text,and realizing text clustering.Secondly,the author-topic-based virtual interest community knowledge mining model is established.Finally,the overall architecture of the virtual interest community interest mining model with fusion theme model and AT model is constructed.The fifth chapter takes "immediately" as a typical virtual interest community with the theme of sharing interest as an example,and empirically analyzes the organizational structure of community user interest mining.On this basis,analyzes the interest information resources of "immediate" interest communities and The empirical analysis of the interest mining model,and finally,the analysis of the overall interest mining model of the “immediate” interest community.The sixth chapter is the summary part of this paper.Based on the results of the research on the virtual community of interest sharing,the paper draws conclusions,analyzes the inadequacies in the research,and looks forward to the future research direction.Through the research of this paper,the basic theory and knowledge structure of research and interest mining research in the direction of virtual interest community and virtual community can be enriched,and the quality of push information can be improved to give users of virtual interest community a better user experience.To the extent,it optimizes the current interest mining model,promotes the in-depth and universal development of the virtual interest community interest mining model theory,and provides a practical reference for improving the level of interest mining in the virtual interest community.