Big data intelligent retrieval method

Abstract

A big data intelligent retrieval method comprises the steps of data preprocessing for capturing and analyzing data; data hierarchical search used for carrying out hierarchical search on the data; dataarranging and displaying; recording and intelligently analyzing of user behaviors for recording search history. According to the technical key points, by adopting a data hierarchical retrieval mode,hierarchical retrieval can be carried out on input data according to the requirements of a user, and the purpose of rapid retrieval can be achieved from multiple channels; the function of retrieving different contents at the same time is added, the user is helped to find the relation between the two, and the intelligence of the whole retrieval mode is improved; by designing data arrangement display and utilizing a small-window display mode, the proportion of the same content on a screen can be increased, and the situation that multiple times of page turning operation are needed when the display content is screened and searched is avoided; and meanwhile, secondary content display is avoided, and the user is helped to quickly find out the content needing to be found out.

Description

technical field [0001] The invention belongs to the field of big data, in particular to a big data intelligent retrieval method. Background technique [0002] Big data refers to the collection of data whose content cannot be captured, managed and processed by conventional software tools within a certain period of time. Big data has five major characteristics, namely large volume, high speed, variety, low value density, and authenticity. It doesn't have statistical sampling methods, it just observes and tracks what happens. [0003] At present, based on big data, intelligent search can be carried out for the information that users need to find. In the specific search process, the following technical problems will occur: when searching for data, there are many relevant contents queried, and the key contents will be Expand on the screen in the form of paging. If you need to query the specific content under one of the key content, you will jump to another display page for disp...

AI Technical Summary

Problems solved by technology

[0003] At present, based on big data, intelligent search can be carried out for the information that users need to find. In the specific search process, the following technical problems will occur: when searching for data, there are many relevant contents queried, and the key contents will be Expand on the screen in the form of paging. If you need to query the specific content under one of the key content, you will jump to another display page for display. This method will greatly affect the user's retrieval speed, thus decrease productivity

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