In intelligent education,most student-oriented learning path recommendation algorithms are based on either collaborative filtering methods or a 0-1 scoring cognitive diagnosis model.Unfortunately,they fail to provide ...
supported by the National Natural Science Foundation of China(61972133);Plan for“1125”Innovation Leading Talent of Zhengzhou City(2019);the Opening Foundation of Yunnan Key Laboratory of Smart City in Cyberspace Security(202105AG070010);Zhengzhou University Professors’Assisting Enterprises’Innovation-Driven Development Project(32213409)。
Knowledge tracking(KT)algorithm,which can model the cognitive level of learners,is a fundamental artificial intelligence approach to solve the personalized learning problem in the field of education.The recently prese...
Collaborative filtering(CF) is one of the most widely used Algorithm in recommender systems, which help users obtain the information they may like. We proposed a latent Dirichlet allocation(LDA) model combining time a...
This paper proposes a novel method, primarily based on the fuzzy adaptive resonance theory (ART) neural network with forgetting procedure, for moving object detection and background modeling in natural scenes. With ...
supported by the National Natural Science Foundation of China (60432010);the National Basic Research Program of China (2007CB307103);the Fundamental Research Funds for the Central Universities (2009RC0507);Important Science & Technology Specific Project of Guizhou Province (【2007】6017)
The existing search engines are lack of the consideration of personalization and display the same search results for different users despite their differences in interesting and purpose. By analyzing user's dynamic s...