Title :
Teaching Resources Recommendation System Based on Personality Design
Author_Institution :
Wuhan Inst. of Technol., Wuhan
Abstract :
With the development and widespread of network, web based learning has become one of the most important ways of educating and researching, in order to meet personalized needs of learners, the technologies of personality and adaptive filtering is applied in the paper, while the model of personalized teaching resources recommendation system is proposed. This model can study and trace the personalized interests automatically, and also can filter teaching resources according to learner´s personalized interest characteristic, realize the personalized recommendation service of teaching resource. Some key realization technologies are also introduced in the paper.
Keywords :
Internet; computer aided instruction; information filtering; information filters; information resources; teaching; Web based learning; adaptive filtering; personality design; personalized recommendation service; teaching resource recommendation system; Adaptive filters; Courseware; Cybernetics; Design engineering; Education; Electronic mail; Filtering; Machine learning; Paper technology; Resource management; Interest characteristic; Personalized recommendation; Teaching resources; Web based learning;
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
DOI :
10.1109/ICMLC.2007.4370874