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Node recommendation method and device based on knowledge graph

A technology of knowledge graph and recommendation method, applied in the fields of unstructured text data retrieval, instrumentation, calculation, etc., can solve the problems of low calculation accuracy, obvious differences in accuracy, redundant calculation results, etc., to improve the query experience, The effect of improving accuracy

Pending Publication Date: 2020-12-18
BOE TECH GRP CO LTD
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Problems solved by technology

At present, the commonly used centrality algorithms are mainly divided into two methods: one is to calculate the in-out degree of nodes, such as the degree centrality calculation method. Centrality, because it does not consider the degree of association between nodes, the calculation results are relatively redundant, and the calculation accuracy is not high
The other is to calculate by the shortest distance between nodes, such as the proximity centrality algorithm, that is, if the sum of the distances from a node to all nodes is the shortest, then the centrality of the node is the highest, but this algorithm needs to consider the centrality of the whole graph. All nodes have high computational complexity and poor applicability to specific scenarios, that is, the accuracy of calculation results for different scenarios is significantly different

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  • Node recommendation method and device based on knowledge graph
  • Node recommendation method and device based on knowledge graph
  • Node recommendation method and device based on knowledge graph

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[0054]Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0055] The embodiment of the present invention provides a node recommendation method based on the knowledge graph, which is mainly used in query application scenarios based on the knowledge graph. The user inputs the query content, and the system uses the corresponding knowledge graph to match the required content nodes for the user. , in this process, the system will calculate the centrality of the nodes in the knowledge graph according to the q...

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Abstract

The invention discloses a node recommendation method and device based on a knowledge graph, relates to the technical field of knowledge graphs, and mainly aims to calculate the centrality of related nodes in the knowledge graph in combination with query content of a user and improve the accuracy of calculation of the centrality of recommended nodes. According to the main technical scheme, the method comprises the steps that relevant nodes are matched in a knowledge graph according to query content of a user; the centrality of each node is calculated according to the in-degree relation of the nodes in the knowledge graph; and a sequence of recommending the nodes to the user is determined according to the centrality of the nodes. Therefore, the accuracy of feeding back results to users is improved. The method and device are used for determining the node centrality aiming at different user requirements for the nodes in the knowledge graph.

Description

technical field [0001] The present invention relates to the technical field of knowledge graphs, in particular to a node recommendation method and device based on knowledge graphs. Background technique [0002] Knowledge Graph, known as knowledge domain visualization or knowledge domain mapping map in the library and information industry, is a series of different graphics showing the knowledge development process and structural relationship, using visualization technology to describe knowledge resources and their carriers, mining , analyze, construct, map and display knowledge and their interconnections. The knowledge map is a combination of theories and methods of applied mathematics, graphics, information visualization technology, information science and other disciplines with metrology citation analysis, co-occurrence analysis and other methods, and uses the visual map to vividly display the core structure and development of the discipline. History, frontier fields, and ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/36G06F16/335
CPCG06F16/367G06F16/335
Inventor 杨卓士
Owner BOE TECH GRP CO LTD
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