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Pushing information roughing sequencing method and device

A technology for pushing information and rough selection, applied in the field of information processing, can solve the problem of low accuracy of rough selection results, and achieve the effect of improving accuracy

Active Publication Date: 2017-07-11
TENCENT TECH (BEIJING) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In view of this, the embodiment of the present invention expects to provide a method and device for rough selection and sorting of push information, at least partially solving the problem of low accuracy of rough selection results

Method used

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  • Pushing information roughing sequencing method and device
  • Pushing information roughing sequencing method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0055] like figure 1 As shown, this embodiment provides a method for rough selection of push information, and the method includes:

[0056] Step S110: According to the historical push data of the push information, determine the features used to calculate the predicted value and the weights corresponding to the features;

[0057] Step S120: Calculate the standard deviation of the features;

[0058] Step S130: determining the fluctuation probability of the standard deviation;

[0059] Step S140: Calculate the predicted value based on the weight, standard deviation, and fluctuation probability; wherein, the standard deviation and the fluctuation probability are used to calculate a fluctuation value for correcting the weight;

[0060] Step S150: Based on the predicted value, select push information that satisfies a preset condition.

[0061] The push information described in this embodiment may include information such as advertisements. Advertisements here may include various...

Embodiment 2

[0074] like figure 1 As shown, this embodiment provides a method for rough selection of push information, and the method includes:

[0075] Step S110: According to the historical push data of the push information, determine the features used to calculate the predicted value and the weights corresponding to the features;

[0076] Step S120: Calculate the standard deviation of the features;

[0077] Step S130: determining the fluctuation probability of the standard deviation;

[0078] Step S140: Calculate the predicted value based on the weight, standard deviation, and fluctuation probability; wherein, the standard deviation and the fluctuation probability are used to calculate a fluctuation value for correcting the weight;

[0079] Step S150: Based on the predicted value, select push information that satisfies a preset condition.

[0080] The method also includes:

[0081] Determine the fluctuation coefficient; wherein, the fluctuation coefficient is used to limit the value...

Embodiment 3

[0086] like figure 1 As shown, this embodiment provides a method for rough selection of push information, and the method includes:

[0087] Step S110: According to the historical push data of the push information, determine the features used to calculate the predicted value and the weights corresponding to the features;

[0088] Step S120: Calculate the standard deviation of the features;

[0089] Step S130: determining the fluctuation probability of the standard deviation;

[0090] Step S140: Calculate the predicted value based on the weight, standard deviation, and fluctuation probability; wherein, the standard deviation and the fluctuation probability are used to calculate a fluctuation value for correcting the weight;

[0091] Step S150: Based on the predicted value, select push information that satisfies a preset condition.

[0092] The method also includes:

[0093] Determine the fluctuation coefficient; wherein, the fluctuation coefficient is used to limit the value...

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Abstract

The embodiment of the invention discloses a pushing information roughing sequencing method and device. The method comprises the following steps of determining the characteristics for calculating a prediction value and the weight value corresponding to the characteristics according to the historical pushing data of the pushed information; calculating the standard differences of the characteristics; determining the fluctuation probability of the standard differences; on the basis of the weight value, the standard difference and the fluctuation probability, calculating the prediction value, wherein the standard difference and the fluctuation probability are used for calculation to obtain the fluctuation value for correcting the weight value; selecting the pushing information meeting the preset condition on the basis of the prediction value.

Description

technical field [0001] The invention relates to the field of information processing, in particular to a method and device for rough selection and sorting of pushed information. Background technique [0002] With the development of information technology, determining the target users of information push in the field of information push to improve the efficiency of information push is a problem that has been devoted to solving in the prior art. The information push includes advertisement push, video, audio and graphic information recommended to users. In order to send interested push information to users, improve the delivery rate of push information and the effective utilization of resources, the ranking and prediction of the popularity of each push information will be carried out. When making predictions, it includes rough sorting and selective sorting of predicted values. In the rough selection and sorting, a small number of highly popular push information will be selecte...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/9535G06Q30/0254G06N7/01G06F17/18G06N5/02
Inventor 姜磊陈戈江列琼刘磊黄东波李文杰黄浩谷俊青黄伟江志张弘徐澜朱思宇金伟
Owner TENCENT TECH (BEIJING) CO LTD
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