Application of Intelligent Course Selection Recommendation System Based on IPv6

Aiming at the problem university students in the process of selecting course are blind and inefficiency because of a lack of course selection guide, based on the traditional collaborative filtering algorithm based on the similarity between the users., through the historical data of students' course selection., the personalized course recommendation of students can be realized. In this paper., by collecting and analyzing the students' courses selection data., comparing suitable recommendation algorithm., design and implement an Android applications running under IPv6 environment., to provide students with personalized course recommended., course management., personal information management services., improve the quality of course selection and the efficiency of the students.