| Present individualized education has become a hot issue in modern educational reform. Because of the contradictions between students'personality differences in the learning foundation, capacity and interests and the unity of teaching resources model, implementation of the system becomes very important to personalize.This paper which is based on Web mining techniques makes a research on the issue of individual service in teaching system. The major work which is carried out includes:1. Introduces the data mining technology in domestic and international situation. Analyzes the role of Web mining technology in intelligent assisted teaching system. Exposition on the research contents, purpose and significance as well as paper's organizational structure of this paper.2. Introduces the Web mining technology and Web personalized information service technology. Constructs the learners similarity matrix for personalized recommendation and Determine recommend coefficient.3. Constructed the personalized user model which based on user behavior habits. And this is the core part of this article too. The model has offline and online two modules. Online module complete the communication function form personalized system and customer browser. To provide the original data for offline processing module structure the user model form the user's access behavior recorded.4. Studies the Apriori algorithm, BP algorithm and K - means algorithm in this system specific application. Realize the auxiliary teaching system resources allocation around the needs of students to configuration, and support individual learning needs of students. In thesis topic in the research and implementation of the system for improving the application level and depth with strong practical significance. And for expanding the data mining technology in the application scope of relevant industries have certain reference value. |
