Information analysis method based on big data and artificial intelligence and cloud service information platform

Abstract

The embodiment of the invention provides an information analysis method based on big data and artificial intelligence and a cloud service information platform. In the pushing process of the information pushing index content data, considering of operation metadata of a field name association structure or a keyword association structure is added; therefore, the operation node information of the field names and the keywords associated according to the logic relationship in each knowledge mining element of the user operation behavior big data can be reflected; therefore, knowledge mining elementsare screened and then knowledge graph mining is carried out, so that the pertinence and the accuracy of a subsequent interest pushing index strategy updating process can be improved under the condition of complex data contents, particularly more noise data, and the accuracy of index pushing contents is improved.

Description

technical field [0001] The present invention relates to the technical field of information push processing, in particular to an information analysis method based on big data and artificial intelligence and a cloud service information platform. Background technique [0002] At present, for each information push subscription project, in order to improve information security, it is usually to pre-train the information push model in the blockchain, and in the regular information push index (that is, the word based on the information push during the information push process) In the service of the content index strategy corresponding to the vector strategy), when the relevant information is pushed and the index content data is pushed, the push strategy is usually optimized based on the feedback of the big data operation situation. However, in the conventional design, when the data content is complex, especially In the case of a lot of noise data, it is difficult to ensure the pert...

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 the present invention is to provide an information analysis method and a cloud service information platform based on big data and artificial intelligence. Considering the operation metadata of name-associated structure or keyword-associated structure, it can reflect the operation node information of field names and keywords related by logical relationship in each knowledge mining element of user operation behavior big data, and then carry out After knowledge mining elements are screened, knowledge map mining can be carried out, which can improve the pertinence and accuracy of the follow-up interest push index strategy update process when the data content is complex, especially when there is a lot of noise data, thereby improving the accuracy of the index push content. Spend

Images