Artificial intelligence information filtering system for computer

Abstract

The invention relates to the field of data filtering, in particular to an artificial intelligence information filtering system for a computer. The system comprises a data filtering model constructionmodule, which is used for generating a corresponding training parameter set based on an input filtering keyword group, realizing construction of a data filtering model based on the training parameterset, and realizing sequencing and series connection of the data filtering models based on the incidence relation among the filtering keyword groups; a data filling module, which is used for realizingdata filling processing based on an incomplete big data filling algorithm of deep learning; and a data filtering module, which is used for realizing filtering and classification of the data based on the series-connected data filtering model group. According to the method, filtering and classification of the data are achieved based on the data filtering models which are sequentially connected in series, each data filtering model corresponds to one data storage node, different data sets under various filtering standards can be obtained through one-time filtering, and the working efficiency of the system is greatly improved.

Description

technical field [0001] The invention relates to the field of data filtering, in particular to an artificial intelligence information filtering system for computers. Background technique [0002] With the advent of the era of big data, the filtering and classification technology of massive data is particularly important. In massive data mining, how to use the information filtered and classified from existing data to guide the filtering and classification of new data has become a new research hotspot. [0003] The current data filtering method is mainly realized by establishing a filter list. The filter list can only filter the data contained in the filter list, and the data that has some relationship with it still cannot be filtered. It is necessary to configure new filter list information. Therefore , needing to build lengthy filter lists. At the same time, the filtering of each data needs to obtain the entire filtering list information again, and the program needs to sear...

AI Technical Summary

Problems solved by technology

[0003] The current data filtering method is mainly realized by establishing a filter list. The filter list can only filter the data contained in the filter list, and the data that has a certain relationship with it still cannot be filtered. New filter list information needs to be configured. Therefore , need to build lengthy filter list

At the same time, the filtering of each data needs to obtain the entire filtering list information again, and the program needs to search and calculate repeatedly, which leads to low work efficiency

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