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Downsampling method based on popularity sorting

A downsampling and hot technology, applied in the field of data processing, can solve problems such as media asset concentration, and achieve the effect of constructing accurate

Pending Publication Date: 2022-05-13
JUHAOKAN TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] This application provides a down-sampling method based on popularity ranking, which solves the problem that the media resources recommended by the recommendation business are concentrated in a small number of popular media resources

Method used

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  • Downsampling method based on popularity sorting
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  • Downsampling method based on popularity sorting

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Embodiment Construction

[0032] In order to make the purpose and implementation of the application clearer, the following will clearly and completely describe the exemplary implementation of the application in conjunction with the accompanying drawings in the exemplary embodiment of the application. Obviously, the described exemplary embodiment is only the present application. Claim some of the examples, not all of them.

[0033] It should be noted that the brief description of the terms in this application is only for the convenience of understanding the implementations described below, and is not intended to limit the implementations of this application. These terms are to be understood according to their ordinary and usual meaning unless otherwise stated.

[0034] The terms "first", "second", and "third" in the description and claims of this application and the above drawings are used to distinguish similar or similar objects or entities, and do not necessarily mean limiting specific sequential or...

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Abstract

The invention discloses a downsampling method based on popularity sorting. The problem that the media assets recommended by the recommendation service are concentrated in a small amount of hot media assets is solved. The downsampling method based on popularity sorting comprises the following steps: acquiring a first negative sample set meeting a first preset condition, and performing popularity lifting sampling on the first negative sample set according to a popularity lifting function; the first preset condition is used for representing that the exposed individual is not clicked in the first preset time; acquiring a second negative sample set meeting a second preset condition, and performing random downsampling on the second negative sample set; the second preset condition is used for representing that the individual meets the first preset condition and is continuously exposed within second preset time; obtaining a positive sample set meeting a third preset condition, and performing heat suppression sampling on the positive sample set according to the heat suppression function; and combining the first negative sample set, the second negative sample set and the positive sample set.

Description

technical field [0001] The present application relates to the field of data processing, in particular to a down-sampling method based on popularity ranking. Background technique [0002] When a terminal device provides recommendation services, it relies on a pre-trained recommendation model, and the training of the recommendation model depends on the construction of training samples. To a certain extent, the sample quality determines the upper limit of the ranking model, so the training samples need to be carefully selected. The process of sample selection is called "downsampling". [0003] At present, the downsampling method is mainly implemented around popular suppression. The mainstream method comes from the inspiration of word2vec's downsampling—the word frequency indicates the popularity of a word, and the sampling rate of the word is calculated according to the word frequency. In natural language, the vocabulary is generally on the million level, and the frequency of...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06F40/216G06Q30/06
CPCG06F16/9535G06Q30/0631G06F40/216
Inventor 陈将浩黄山山
Owner JUHAOKAN TECH CO LTD
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