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Data processing method and device

A data processing and data labeling technology, applied in the field of data processing, can solve the problems of ineffective precipitation of operational activities, numerous steps, reuse and reference.

Inactive Publication Date: 2016-12-07
ALIBABA GRP HLDG LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In addition to the many steps and low efficiency of the current digital operation platform, there are two problems: first, the value of big data cannot be fully tapped; second, the effect of operation activities cannot be effectively precipitated and reused and used for reference by follow-up activities

Method used

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  • Data processing method and device
  • Data processing method and device

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Embodiment Construction

[0019] Embodiments of the present application are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals denote the same or similar modules or modules having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary, and are only for explaining the present application, and should not be construed as limiting the present application. On the contrary, the embodiments of the present application include all changes, modifications and equivalents falling within the spirit and scope of the appended claims.

[0020] figure 1 It is a schematic flow chart of a data processing method proposed in an embodiment of the present application, and the method includes:

[0021] S11: Publish operational activities to the training sample, and obtain the operational activity results of each user in the training sample, the training sample is selected from existing users, the t...

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Abstract

The invention provides a data processing method and a data processing device. The data processing method comprises the steps that an operating activity is put in training samples, and the operation activity result of each user in the training samples is acquired, wherein the training samples are selected in the existing users, the training samples include at least one user, and each user includes at least one existing feature dimension; a training model is established according to the operation activity result of each user and the corresponding value of the existing feature dimension, and result of the training model is acquired; the operation activity results of other users apart from the training samples are predicted according to the result of the training model; and the operation decision is made according to the prediction result. According to the method, the efficiency can be enhanced, the value of big data can be fully mined and the effect of the operation activity can be effectively precipitated.

Description

technical field [0001] The present application relates to the technical field of data processing, and in particular to a data processing method and device. Background technique [0002] The current main operation method is: before the start of each operation activity, the development and data personnel provide data labels for the operation personnel, and then the operation personnel select the appropriate data label based on their own experience and then select users to launch the operation activity. After the operation activity ends Business Intelligence (BI) personnel will be needed to analyze the delivery effect, and the analysis results will be fed back to guide the next delivery of the operator. [0003] In addition to the many steps and low efficiency of the current digital operation platform, there are two problems: first, the value of big data cannot be fully tapped; second, the effect of operation activities cannot be effectively precipitated and reused and used for...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06F17/30
Inventor 何勇
Owner ALIBABA GRP HLDG LTD
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