Online allocation of network learning resources based on parallel cluster mining

In order to solve the problem of low accuracy and consideration of online allocation of existing network learning resources, this paper proposes a network learning resource online allocation method based on parallel clustering mining. Firstly, analyse the development stages of online learning resources and collect data on educational resources. Secondly, construct a network learning resource model and utilise parallel clustering to explore the clustering features of network learning resources. Finally, using the mined resource features, design network learning resource labels to achieve online allocation of network learning resources. The experimental results show that the accuracy of network learning resource allocation in this method is 98.2%, the accuracy of network learning resource allocation is 98.1%, and the reliability of allocation reaches 96.2%.