Service recommendation method for human-machine-material fusion system based on heterogeneous network representation learning
A technology of heterogeneous network and system service, applied in the service recommendation of human-machine-material fusion system based on heterogeneous network representation learning, and the field of service recommendation of human-machine-material fusion system, which can solve problems such as information overload and achieve good robustness, The effect of preventing the network structure data from being too noisy and preventing overfitting
Active Publication Date: 2021-09-28
NANJING UNIV
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Problems solved by technology
[0004] With the gradual development and deepening of the application of the human-machine-thing fusion system, a huge human-machine-thing fusion system will often provide a large number and various service items, resulting in the problem of information overload
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[0027] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of this application.
[0028] In this implementation example, for the network structure model construction and node attribute information extraction recommended by the human-machine-object fusion system service, it is necessary to execute the method of the present invention in the system control platform to obtain the required data information.
[0029] Such as figure 1 As shown, the service recommendation method of human-machine-object fusion system based on heterogeneous network representation learning includes the following...
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The invention discloses a service recommendation method for a human-machine-object fusion system based on heterogeneous network representation learning. The method includes node attribute extraction, network topology structure construction, heterogeneous network representation learning, and human-machine-object fusion system service recommendation. First, construct the heterogeneous network of the human-computer-object fusion system by extracting the node interaction history and node attribute information in the human-computer-object fusion system, and then train the network node representation vector through the heterogeneous network representation learning algorithm designed for the network, and finally use the network node The representation vector is used for service recommendation of the human-machine-object fusion system. Compared with the existing methods, the present invention comprehensively considers the heterogeneity of the network topology structure of the human-machine-thing fusion system and the combination of network topology information and node attribute information, and achieves the purpose of improving the service recommendation effect of the human-machine-thing fusion system . This method will effectively and reasonably recommend required services to system participating users, and has great application value.
Description
technical field [0001] The invention relates to a service recommendation method for a human-machine-thing fusion system, in particular to a service recommendation method for a human-machine-thing fusion system based on heterogeneous network representation learning, and belongs to the technical field of network representation learning and push technology. Background technique [0002] The current computing system is gradually expanding from the original information space to the human society and the physical world, forming a ternary fusion computing system that integrates human society, information space, and physical space. The human-machine-object fusion system will provide strong support for social governance, intelligent manufacturing, and smart cities. In the process of building a new type of human-machine-material fusion system, the first problem to be solved is the effective coordination and governance of the heterogeneous elements of human, machine and material in the...
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IPC IPC(8): G06F16/9535G06N3/04G06N3/08
CPCG06F16/9535G06N3/088G06N3/045
Inventor 姚远曹春徐锋潘国盛
Owner NANJING UNIV