Research On Knowledge Aggregation And Effect Evaluation Of Virtual Health Community

With the high-speed development of Internet,more and more people are willing to choose in the network access to knowledge and to seek the answer,so various functional network community has become the first choice of access to information in the decades of the rapid development of Internet,make the data explosion,the traditional search way has not fully meet the diversity of user requirements for a moment,presents the bloat the redundancy in the network data fragmentation issues such as demand for network users access to information demands a huge barrier to the user through the network seeking knowledge of the purpose is to want to take advantage of fast and convenient way to get to the professional Accurate information and knowledge,and the urgent need for an efficient and accurate way to acquire knowledge is just the existence of this demand,it is the emergence of a variety of types of network platform and network new media,Internet users can search their favorite content in different types of network platforms according to their individual needs.For example,the virtual learning community can retrieve the relevant content of learning and discuss or ask questions with netizens with similar knowledge needs in the community.For example,social communities can find relevant entertainment news or life posts through their hobbies,or chat and interact with real friends or virtual friends in life.Typical communities include sina weibo WeChat blog,etc.For example,living virtual community can help people in the Internet to solve the real life in the payment booking reflects the living problems,the typical community has online banking online traffic police mobile phone business hall;The above examples reflect that more and more practical problems in life can be completed in the network,not only save the Internet users to seek answers to improve the life efficiency of Internet users but also bring everyone a sense of pleasure in life?April 12,2018,Premier Li Keqiang chaired a meeting of the standing meeting,determine the development of Internet + health measures,ease,the difficulty of hospital,can improve the efficiency of medical treatment,make full use of medical resources,set up the Internet medical system,the measures will ease the netizens after a serious illness medical facility,ailment nobody tube embarrassing situation after that,the virtual community health,Internet users in the community usually has two types of activity,after a there is a clear target selection in the search engine to search after the results they want;Second,there is no clear purpose in the community page to find interested keywords or interested sections for browsing?But through the use of virtual community health for a period of time,want to be accurate to find what you want to knowledge or information accurate answer or some difficulty,this means that the background of virtual community health medical knowledge data is not fully accurate match with the demand of the netizen,this phenomenon may reduce the stickiness and activity,also to net friend's life can't have more help So now,in the virtual community health service has not been able to achieve human and knowledge aggregation has not been able to achieve the effect of intelligence,the result will not be able to fully with the requirements of the net friend agree,after the questions in this paper is to realize the virtual community health through from the perspective of the user needs to solve the knowledge aggregation of efficient and accurate through the above the problems found,in this article,through the view of user requirements,the process of knowledge aggregation was analyzed,and the algorithm to the optimization,in order to achieve the user can effectively use knowledge in the virtual community health purposes,The main research contents of this paper include the following aspects:(1)Through the analysis of the user's portrait,we can get the user's needs in the virtual health community.By mining the static and dynamic attribute labels of users,building the user portrait of virtual health community,analyzing the classification and attribute characteristics of users,and grouping users from different perspectives,it can more specifically deepen and accurately grasp the needs of users from all aspects,and on the basis of this,it analyzes the dynamic evolution direction of user needs,and can more accurately analyze the user needs,Finally,the process model of requirement evolution is constructed.(2)The knowledge aggregation model of virtual health community is constructed.Firstly,the concept of knowledge aggregation of virtual health community is defined,and it is analyzed that virtual health community starts from specific medical and patient needs or specific health problems.Therefore,the knowledge resources in the community are identified by using mathematical statistics analysis,big data mining,artificial intelligence,semantic web and other technologies,and then the relationship between knowledge aggregation and knowledge aggregation is analyzed The goal and motivation of community knowledge aggregation build the framework of virtual health community knowledge aggregation,which is more conducive to community users' access to health knowledge.(3)Knowledge aggregation of virtual health community based on spectral clustering algorithm.Based on the analysis of "good doctor" health platform,crawling the content of the doctor health platform for processing,using spectral clustering algorithm to analyze the extracted keywords,can help users of virtual health community quickly understand the relevant topics and knowledge content,and help the community effectively improve user experience and service quality.(4)Evaluate the polymerization effect.Using the theory of information aggregation and the theory of information dissemination effect,under the guidance of index construction basis,the evaluation index system of knowledge aggregation effect of virtual health community is constructed.In order to verify the usability of the evaluation index system,multiple health communities at home and abroad are selected for verification.The results show that the highest score of knowledge content aggregation has the greatest impact on the aggregation degree,which shows that virtual health society The district requires the highest degree of knowledge aggregation.Improving the degree of knowledge aggregation can improve the user experience of community operation,which is of great significance to improve the community service ability and the recognition of users to the community.After the above theoretical analysis and technical implementation,the optimization strategy of knowledge aggregation in virtual health community is finally given,so as to improve the user's pleasant experience of knowledge resources in virtual health community in all aspects.