Research On Recommendation System Of Agricultural Sci-tech Journals Based On Personas

In order to make full use of modern information technology,use personas technology and personalized recommendation technology to make agricultural science and technology journals timely,convenient and efficient for agricultural science and technology journal users to provide the necessary information for agricultural science and technology journals Scientific management,give full play to the role of agricultural science and technology in the dissemination of media and the sustainable development of agricultural science and technology journals is of great significance.Based on the principle of software engineering,this paper studies the recommendation system of agricultural science and technology journals based on Personas based on data mining and intelligent recommendation technology,as well as B/S structure,MVC design pattern and database access technology,this paper takes agricultural science and technology journals as the research object,Below are key research findings:(1)According to the characteristics of users of agricultural science and technology journals,the demographic characteristics of users,the attributes of agricultural sci-tech periodicals,business and social attributes are studied,and the personas model of agricultural science and technology journal users is constructed.(2)According to the Personas model of agricultural science and technology journal users,collaborative filtering and content-based recommendation algorithm are used to make individual recommendation of agricultural science and technology journals.(3)Integrated use of MVC design patterns and database access technology,design and implementation of a set of user-friendly,human-computer interaction collaborative agricultural science and technology journal search,online reading,Personas model,the latest recommendation,popular recommendation and related recommendations and other functions as a whole A Recommendation System of Agricultural Sci-tech Journals Based on Personas in B / S Structure.(4)Based on the user portrait and agricultural science and technology journals recommended system for empirical application analysis.The results show that the system can extract the demographic characteristics according to the user registration,search,browsing and other information records,agricultural science and technology journal attributes,business and social attributes and other agricultural science and technology journal users portraits;to achieve ‘popular recommendation',‘the latest recommendation' And ‘popular search recommendations' and other recommended functions;and based on the content of agricultural science and technology journals to achieve content-based recommendations ‘related articles recommended' function and according to the system generated agricultural science and technology journal users based on synergistic filter ‘related recommendation' function;It shows the feasibility,validity and practicability of this system to the dissemination and personalized recommendation of agricultural science and technology journals.