Information acquisition method based on big data and artificial intelligence and digital content service platform

Abstract

The embodiment of the invention provides an information acquisition method based on big data and artificial intelligence and a digital content service platform. At least two key operation acquisitionnode services are layered into a target service layered acquisition plan; wherein the configuration instruction is used for instructing to perform acquisition configuration on the acquisition featureitems of the acquisition page objects represented by the key operation acquisition nodes of which the services are layered. Then, the operation distribution of the key acquisition nodes is updated byadopting a target service layered acquisition plan, and the updated operation distribution of the key acquisition nodes is sent to an acquisition configuration process of a software acquisition plan;therefore, the acquisition configuration process of the software acquisition plan can perform acquisition configuration on the acquisition feature items of the acquisition page object represented by the key operation acquisition node of the business hierarchy according to the indication of the target business hierarchy acquisition plan in the process of configuring the acquisition process of the business function area, thereby reducing the number of recall times of the acquisition configuration; the induction time of collected data is saved, and the execution efficiency of a collection plan isimproved.

Description

technical field [0001] This application relates to the field of information collection technology, specifically, an information collection method based on big data and artificial intelligence and a digital content service platform. Background technique [0002] During the process of information collection, the inventor found that in the current collection configuration scheme, each key operation collection node needs to be separately collected and configured cyclically, which leads to a large number of re-calls for each collection configuration. However, the inventor of the collection configuration found that, in fact, the development and use of many software functional services usually have the characteristics of aggregation of business layers. How to reduce the number of re-calls of the collection configuration to save the summarization time of the collected data and improve the execution efficiency of the collection plan , is a technical problem to be solved urgently in t...

AI Technical Summary

Problems solved by technology

[0002] In the process of information collection, the inventor found that in the current collection configuration scheme, each key operation collection node needs to be separately collected and configured in a loop, which leads to a large number of re-calls for each collection configuration

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