Feature selection method and feature selection service system

A feature selection method and the same feature technology, applied in the computer field, can solve the problem of low feature selection efficiency and achieve the effect of improving efficiency

Pending Publication Date: 2021-08-24
ALIBABA GRP HLDG LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The present application provides a feature selection method, device, electronic equipment, and storage equipment, which solves the problem of low efficiency of feature selection in the feature space of large-scale data in the prior art

Method used

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  • Feature selection method and feature selection service system
  • Feature selection method and feature selection service system
  • Feature selection method and feature selection service system

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Embodiment Construction

[0047] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. However, the present invention can be implemented in many other ways different from those described here, and those skilled in the art can make similar extensions without violating the connotation of the present invention, so the present invention is not limited by the specific implementations disclosed below.

[0048] The first embodiment of the present application provides a feature selection method, which is combined below figure 1 , figure 2 , image 3 and Figure 4 The first embodiment of the present application will be described in detail.

[0049] like figure 1 As shown, in step S101, an original sample is obtained.

[0050] The original sample refers to a set including multiple samples. The original sample contains multiple features. For example, in an advertisement scenario, the original sample may include user feat...

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Abstract

The invention discloses a feature selection method. The method comprises the steps of obtaining an original sample; copying the original sample to obtain a copied sample of the original sample, the features in the copied sample being less than the features in the corresponding original sample; dividing the copy samples containing the same characteristics in the copy samples corresponding to different original samples into the same copy sample group; obtaining a model evaluation index of the copy sample group; and screening out target features for training a machine learning model from the features in the original samples according to the model evaluation indexes of the copied sample group. By adopting the method, the problem of low efficiency of feature selection for the feature space of large-scale data in the prior art is solved.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a feature selection method and a feature selection service system. Background technique [0002] With the wide application of Internet technology, the data generated on the Internet contains a large number of related features. For example, in the advertising scene, various types of characteristics such as audience characteristics, advertisement characteristics, query characteristics, and scene characteristics will be generated, and each type of characteristics contains its own rich characteristics. Taking audience characteristics as an example, in addition to including the In addition to the attribute characteristics of the characteristics, it also contains a large number of behavioral characteristics. The behavioral characteristics can be divided into long-term, medium-term, and short-term in terms of time. In terms of types, they can include clicks, collections, and...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N20/00
CPCG06N20/00G06F18/211G06F18/214
Inventor 马驰王冲杜聪
Owner ALIBABA GRP HLDG LTD
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