Topic Discovery And Personalized Recommendation Of User Generated Content In Virtual Health Community

In recent years,with the rapid development of Internet technology,network resources play an important role in life,work and learning.More and more users choose to interact on the network media for efficient access to information and problem solving.With the advent of Web2.0,the mode of people using information has changed.Users can not only passively accept information content,but also participate in the process of information production and dissemination.Users can select information content in a large range,also can produce information content by themselves,screen out the information they want through information retrieval and other functions,or through feedback function They express their opinions on content products,so users of virtual community are not only consumers of information and cultural content,but also producers and providers.Because of their fast communication,strong editing and simple use,virtual community has been continuously concerned by the majority of users,which provides help to many people with medical and health needs.With the rapid development of our economy and the accelerating pace of people’s lives,the virtual health community has become a platform for many people to understand,care and consult health problems because of its effective help users in solving daily health needs."Internet plus medical" mode moves offline resources to online,and the information interaction between patients and doctors is completed on the online platform,which greatly saves.User time,save offline resources.With the rapid development of information economy,information in the Internet is explosive growth.Virtual health community covers a large number of valuable information and knowledge,which provides new research objects for knowledge discovery in medical and health field.The mature development of big data technology provides reliable tools for research.Therefore,the theme discovery and content generated by users in virtual health community can be realized in the network environment Sex recommendation research.How to manage and organize the content generated by users in virtual health community,mining the user needs,innovating the new model of virtual health community service,providing high-quality service for users in virtual health community has become a new problem for the research of virtual health community.In view of this,this paper introduces the theory and method of topic discovery into the research of user generated content in virtual health community,and proposes a hot topic discovery and knowledge recommendation service model based on user consulting content.By mining hot issues and topic related relationships,the semantic association theme map is constructed and personalized recommendation model is built,which can be researched from user questions The research on the theme features of the question provides a new perspective for the research of virtual health community platform,enriching the research architecture in this field.The experimental results show that the research ideas and methods proposed in this paper can identify the topics generated by users in virtual health community,and find the concerns and interest topics of users in virtual health community;the demand aggregation based on K-means clustering technology can mine the needs of users in virtual health community,and help the platform to efficiently aggregate the needs;based on the semantic similarity of topics,The topic words of user generated content in virtual health community are realized in the form of map,and the knowledge map construction can effectively obtain the semantic connection between the topic words;the construction of personalized recommendation model helps the platform accurately recommend the product and content information suitable for the user’s needs to the relevant users,and effectively solve the problems of difficult and inaccurate questions.