Research Of Hybrid Collaborative Filtering Recommendation Method Based On College Course

With the vocational college students to take elective courses applied to the Internet, the Internet has become the main way student’s access to information. How elective courses, quick search and I interested in the same elective courses, is an important research direction recommended system applications. Web-based platform details of the curriculum information, student extract valuable course information more difficult, most student’s elective courses are blind, so that some sort or the student’s own curriculum because of insufficient understanding of the case becomes no elective courses. Currently, elective courses in vocational colleges majority recommendation system exists no recommendation function, it is recommended poor quality, response time is longer, intelligent recommendation is low, etc., can not meet the needs of students interested and intelligent. The use of student evaluation of elective courses, students interested in intelligence and other characteristics of individuals to establish a recommendation system can effectively solve these problems.This paper describes the status of vocational elective courses and elective courses in vocational training objectives, to determine vocational elective courses should be established to career planning and job training objectives process, emphasizing the practical ability required for professional positions to open elective courses that will elective courses with specific knowledge corresponding professional practice. Interest in vocational students understand the features and intelligence tend to analyze characteristics of vocational students’ interests and characteristics of elective courses to obtain similar features to complete the course is recommended. Describes the content-based vocational courses recommended method, collaborative filtering recommendation. Article summarizes the content of vocational courses recommended methods and students on vocational curriculum evaluation method for collaborative filtering recommendation advantages and disadvantages of student interest and elective courses feature design characteristics recommendation system core algorithm using two recommended techniques recommended method for mixing. Vocational elective courses recommendation system based on performance evaluation index system for Exploration, analysis and evaluation indicators, evaluation index create two elective courses based on content filtering evaluation. Then elective courses recommended system design principles for analysis, recommendation systems combine vocational courses related business functions, the overall design course recommendation system architecture diagram, according to the system functional requirements to achieve the course based on hybrid collaborative filtering recommendation system design. The system is based on J2EE technology and B/S three-tier architecture model design, the article details the elective system login module, reporting module elective courses, elective courses start notification module, student elective recommended modules, etc. functions are implemented. Elective courses Hybrid Synergy recommendation system is its ability to provide personalized recommendation, excellent course recommended, recommended, and many other popular elective recommended.This hybrid-based collaborative filtering recommendation vocational elective system design, verification recommendation system core algorithm, the system has a good recommendation function.