Knowledge graph embedding-based learning resource recommendation method and system
A technology of learning resources and knowledge map, applied in the field of learning resource recommendation method and system based on knowledge map embedding, can solve the problems of inability to meet the actual needs of learning in order, and the relevance of learning resources is not effectively considered, and achieve accurate Recommended effect
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[0047] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0048] The graph embedding algorithm is a network representation method, and the present invention intends to introduce the graph embedding method as a feature representation method of the knowledge path. They have been used in many practical applications. In the past few years, a lot of research has focused on designing new embedding algorithms. These methods can be grouped into three broad categories: 1) factorization methods such as LINE attempt to approximate the factorization of the adjacency matrix while preserving first- and second-order approximations; 2) deep learning methods enhance the ...
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