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Product scheme combination recommendation method based on deep learning

A deep learning and product technology, applied in the field of artificial intelligence, can solve problems such as high personal ability requirements and time-consuming, and achieve the effect of optimal product combination, accurate solution, and good adaptability

Active Publication Date: 2021-04-27
SHANDONG INSPUR SCI RES INST CO LTD
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  • Claims
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AI Technical Summary

Problems solved by technology

[0004] However, the traditional manual method is time-consuming and has high requirements for the personal ability of the employees who write the overall solution. In this case, how to use deep learning technology to form a new product solution combination based on the existing product solution to adapt New business needs become an urgent problem to be solved

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Embodiment Construction

[0029]In order to make the purpose, technical solutions and advantages of the present application, the present application will be described in conjunction with the specific embodiments of the present application. Obviously, the described embodiments are merely the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without making creative labor premises, all of the present application protected.

[0030]The Graph Convolutional Network, GCN is an important branch in the GRAPHNEURAL NETWORKS, GNN, is a class of neural networks using the map. Traditional convolutional neural networks boost in text and image fields, but it can only handle Euradic space data. The figure is a graphic composed of several nodes (NODE) ​​and a side (EDGE) connected to two nodes for portraying the relationship between different nodes. As a non-European space data, the data is g...

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Abstract

The invention discloses a product scheme combination recommendation method based on deep learning, and the method comprises the steps: collecting a product specification and a solution in a professional field, and generating a product feature vector and a solution feature vector; inputting the product feature vector and the solution feature vector into a graph generator to generate an original product scheme graph structure; generating a generated product scheme graph structure in a generator of a generative adversarial network (GAN) by combining the original product scheme graph structure with other vectors; forming a solution document from the generated product scheme graph structure through a scheme generator; and continuously collecting product specifications and solutions, and feeding back the generated solutions for continuous optimization of the model.

Description

Technical field[0001]The present application relates to the field of artificial intelligence, and in particular, there is a method of recommending a depth study-based product solution combination.Background technique[0002]In recent years, artificial intelligence technology has developed rapidly, and its commerciality is exceeded. Artificial intelligence will bring subversive changes to the entire society, which has become an important development strategy in the future. Especially in the algorithm evolved in deep learning, its super-evolutionary ability, with the support of big data, the large-scale neural network of similar human brain structures can be resolved by training.[0003]With the rapid development of information technology and Internet technology, traditional paper product documents and program documents are gradually replaced by electronic documents, especially large enterprises, to address different business scenarios and customer needs, will accumulate a large number of...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06F16/901G06N3/04G06N3/08
CPCG06F16/9535G06F16/9024G06N3/088G06N3/045
Inventor 孙善宝罗清彩闫盼盼谭强
Owner SHANDONG INSPUR SCI RES INST CO LTD
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