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Negative sample extraction method and device, computer equipment and storage medium

A technology of negative samples and objects, which is applied in the fields of devices, extraction methods of negative samples, computer equipment and storage media, and can solve the problems of easily affecting the recommendation effect and low value of negative samples.

Pending Publication Date: 2020-02-28
CHINA PING AN LIFE INSURANCE CO LTD
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  • Application Information

AI Technical Summary

Problems solved by technology

[0003] For example, the recommendation system will send the user sample information collected in the application platform into the training model for training, and simulate the information that the user may be interested in by comparing the positive and negative samples in the sample information. The effect of the model plays a key role; however, the current recommendation system usually uses random sampling when selecting negative samples. The value of negative samples selected in this way is low, and it is easy to affect the recommendation effect.

Method used

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  • Negative sample extraction method and device, computer equipment and storage medium
  • Negative sample extraction method and device, computer equipment and storage medium
  • Negative sample extraction method and device, computer equipment and storage medium

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Embodiment Construction

[0044] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present application.

[0045] Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the specification of the present application refers to the presence of the features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, elements, components, and / or combinations thereof.

[004...

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Abstract

The invention relates to the technical field of machine learning, in particular to a negative sample extraction method and device, computer equipment and a storage medium, and the method comprises thesteps: obtaining the page burying point information of a display page in an application platform, and determining the label information and popularity information of each burying point object according to the page burying point information; acquiring historical behavior information of a user in the application platform, and determining a label weight of the user in the application platform according to the historical behavior information; according to the label weight and the label information of each buried point object, determining the sampling probability of each buried point object sampled by the user in the application platform; generating a negative sample distribution sequence according to the popularity information and the sampling probability of each buried point object, and extracting a negative sample from the negative sample distribution sequence. According to the scheme, the sampling logic of the negative sample is optimized, the calculation amount in the model training process is reduced, and the model effect and the evaluation index are improved.

Description

technical field [0001] The present application relates to the technical field of machine learning, and in particular to a negative sample extraction method, device, computer equipment and storage medium. Background technique [0002] At present, personalized information recommendation has been widely adopted by major Internet platforms. It tracks the user's historical behavior, extracts the user's interest characteristics, and analyzes the matching degree between the information and the user's characteristics, so as to recommend information that may be of interest to the user. [0003] For example, the recommendation system will send the user sample information collected in the application platform into the training model for training, and simulate the information that the user may be interested in by comparing the positive and negative samples in the sample information. The effect of the model plays a key role; however, the current recommendation system usually uses random ...

Claims

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Application Information

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IPC IPC(8): G06F16/9535G06F16/951
CPCG06F16/9535G06F16/951Y02D10/00
Inventor 任俊松
Owner CHINA PING AN LIFE INSURANCE CO LTD
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