Abstract
To solve the problem of invalid resource recommendation data and poor recommendation effect in basketball teaching network course resource recommendation, a basketball teaching network course resource recommendation method based on a deep learning algorithm is proposed. The objective function is applied to eliminate the noise in the basketball teaching network course resource data. The prominent characteristics of basketball teaching network curriculum resources are extracted using a kernel function and combined into a feature set. A convolution neural network (CNN) was employed to realize the basketball teaching network curriculum resources recommendation model. The model was assessed in terms of computation time and recognition error. To validate the performance, the proposed model was compared with two well-known recommendation models such as the learning resource recommendation method based on transfer learning and the personalized learning resource recommendation method based on three-dimensional feature collaborative domination. Experimental results show that the proposed model achieved the lowest computation time of 15 s and recommendation error less than 0.4% as compared with the existing model.
Highlights
With the rapid development of information technology and the continuous progress of mobile Internet technology, great changes have been taken place in human lifestyle and working state
The learning resource recommendation method based on transfer learning proposed by Tang et al [5] and the personalized learning resource recommendation method based on three-dimensional feature collaborative domination presented in [6] are selected as reference methods to highlight the effectiveness of the proposed method
To verify the reliability of the proposed method, we compared the performance of the proposed method with that of the learning resource recommendation method based on transfer learning proposed by Tang et al
Summary
With the rapid development of information technology and the continuous progress of mobile Internet technology, great changes have been taken place in human lifestyle and working state. Human life and work have become more convenient, and the progress of technology is constantly changing our thinking and daily life activities [1]. With the development of the mobile Internet era, the popularity of various mobile terminals in people’s life such as WeChat, Microblog, E-books, and network digital resources is increasing. Learn, and share information anytime and anywhere using information networks. Activities such as understanding the world and learning knowledge are no longer restricted by time and space, and the development of information technology has brought unprecedented changes in human learning methods [2]. Digital resources are the key components for information resources and have led to a revolutionary breakthrough in the field of education
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