Design And Implement A Document Recommendation System

With the advent of the21st century, the Internet era, people get information throughthe network to become everyday technology. In recent years, with the rapid growth in theamount of data on the global Internet information, the information is flooded withcountless Internet users to accurately find the information they need to becomeincreasingly difficult. In order to use can quickly find the information you need to developthis document recommendation system, improve the utilization of information, documentsrecommended meets user interest.Process development system is mainly done the following work:(1) System analysis and system design. The main function of the documentrecommendation system including document management, user management, userbehavior, and document recommendations. Document management information systemsmajor document management, including increased documents, modify documents, browsefiles, delete files and query documents. User management major user informationmanagement, including system login, user registration and personal information changes.The main users of user behavior records document the operation of the system, wherebythe user can know what documentation and operations carried out what operation. Userbehavior data can provide data to support intelligent recommendation. Recommendeddocumentation system including related documentation recommendations andpersonalized documents recommended. Related Documents recommended for users withsimilar content recommendation and target document documentation. Personalizeddocuments recommended recommended documentation which users liked for users.Database design, and document the two entities based on the user system with t he designof the two tables, and then create a link between the user and the document as well assome other additional information.(2) System implementation and testing. According to the detailed design of variousfunctional modules to implement various functions of the system. By calculatingdocument similarity between, is recommended for the user documentation. By analyzinguser behavior, calculating the user similarity, the document recommended for users interested.Finally, the test results show that the system can solve user problems, recommendedfor users to accurately document.