Information cloud computing pushing method combining big data portraits and digital content server

Abstract

The embodiment of the invention provides an information cloud computing pushing method combining big data portraits and a digital content server, and aims to solve the problems that the cloud computing pressure for computing business service association vectors of all entities in a whole business feedback knowledge graph is relatively high, and the requirement of efficient analysis pushing cannot be met. A second business feedback knowledge graph is constructed on the basis of a second business service object and an existing first business feedback knowledge graph, that is, part of graph content of the first business feedback knowledge graph involved when business service associated information of the second business service object is determined, so that information details are increased, cloud computing pressure is reduced, the cloud computing efficiency of the business service associated information of the second business service object is higher, and the requirement for efficient analysis and pushing is better met.

Description

technical field [0001] The present application relates to the technical field of big data, in particular, to an information cloud computing push method combined with big data portraits and a digital content server. Background technique [0002] In the process of service portrait generation, a large number of microservice running data generated by multiple service running nodes in software business services can be correlated to determine the overall service portrait of service objects in software business services, which can be used for various Applications related to service portraits, for example, use service portraits to push relevant hotspot information, etc. However, in the process of information push based on service portraits, for newly added business service objects, the global data volume is usually used for calculation, which will increase the pressure on cloud computing, making it difficult to meet the needs of efficient analysis and push, and may also cause subseq...

AI Technical Summary

Problems solved by technology

[0003] In order to at least overcome the above-mentioned deficiencies in the prior art, the purpose of this application is to provide an information cloud computing push method combined with big data portraits and a digital content server, taking into account the calculation of business service association vectors of all entities in the entire business feedback knowledge map The pressure of cloud computing is relatively high, and it cannot meet the needs of efficient analysis and push. The second business feedback knowledge map is constructed based on the second business service object and the existing first business feedback knowledge map, that is, the second business service object is determined. Part of the map content of the first business feedback knowledge map involved in the business service association information to increase information details and reduce cloud computing pressure, so that the cloud computing of the business service association information of the second business service object is more efficient and more efficient. Well meet the needs of efficient analysis and push

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