Data processing method and device, computer readable storage medium and computer equipment

Abstract

The invention relates to big data, and provides a data processing method and device, a computer readable storage medium and computer equipment, and the method comprises the steps: inputting a first dimension reduction feature into a trained feature cross model, and obtaining at least one target dimension reduction feature pair; inputting each target dimension reduction feature pair into a trainedweight calculation model to obtain first weight information corresponding to each target dimension reduction feature pair; inputting the first weight information and the second dimension reduction feature into a trained weighting model, and outputting second weight information corresponding to the second dimension reduction feature; sorting the object data according to the second weight information and generating a corresponding object data sequence, and sending the object data sequence to the corresponding terminal, so that the terminal displays the object data in sequence according to the object data sequence, the accurate object data sequence can be obtained by processing the features, the corresponding object data is displayed according to the object data sequence, and the accuracy ofobject data display is improved.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular to a data processing method, device, computer-readable storage medium and computer equipment. Background technique [0002] With the rapid development of computer technology, machine learning has been widely used in various fields. Machine learning is an important branch of artificial intelligence, involving statistics, matrix analysis, optimization analysis and other disciplines. The emergence of machine learning has greatly facilitated people's daily life. [0003] Due to the lack of attention paid to the user's personal information when using machine learning for feature screening and feature weight calculation, it is easy to cause inaccurate feature processing, and it is impossible to obtain accurate object data sequences through feature processing. Contents of the invention [0004] Based on this, it is necessary to provide a data processing method, device, c...

AI Technical Summary

Problems solved by technology

[0003] In the traditional way of using machine learning for feature screening and feature weight calculation, due to insufficient attention to the user's personal information, it is easy to cause inaccurate feature processing, and it is impossible to obtain accurate object data sequences through feature processing.

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