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Client data analysis system and method under big data situation

A data analysis system, client-side technology, applied in the field of big data

Pending Publication Date: 2022-06-24
南京硕茂电子科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the prior art, the client usually extracts keywords from the videos recognized or favorited by netizens, and obtains the categories of videos that netizens are interested in according to the keywords; however, the interest value of netizens is temporarily aroused by this method. , this type of video screen is not continuous, and this method cannot really arouse the types of video screens that netizens are interested in; therefore, it is necessary to process the data of video screens with higher precision

Method used

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  • Client data analysis system and method under big data situation
  • Client data analysis system and method under big data situation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0103] Example: Obtain the time point information t0=8.10 when the client first recommends the second video to the user, obtain the time information t0′=8.30 when the client recommends the second video to the user for the first time; obtain the customer The time point information when the terminal recommends a video of the same dimension as the second video to the user for the last time is td'=8.50; the number of recommended videos of the same dimension as the second video is obtained k=8; the user browses each video of the same dimension as the second video. time F = 1.5

[0104] then get: min > 0;

[0105] Indicates that the user's interest value for the second video screen of the same dimension is less than the preset interest value, and temporarily does not recommend a video of the same dimension as the second video screen; update the waiting time of the client in real time; continue to detect the time value;

[0106] If the client recommends the second video to the use...

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Abstract

The invention discloses a client data analysis system and method under a big data scene. The invention relates to the technical field of big data, a data dimension pushing module is used for acquiring client data, providing a first view screen for a user according to the client data, and performing classification processing on the first view screen to obtain an optimal view screen; the data dimension processing module is used for acquiring the time length information of watching the first view screen by the user from the client, transforming the data dimension corresponding to the first view screen, and marking the data dimension corresponding to the second view screen after the data dimension corresponding to the second view screen is obtained; the data push time processing module is used for acquiring progress information of browsing the second view screen by the user, recommending other view screens with the same dimension as the second view screen to the user according to the progress information, and setting the re-playing interval time of the second view screen; therefore, the situation that the user excessively pays attention to the view screen with the same dimension as the second view screen, and the interest in the view screen with the same dimension as the second view screen or the second view screen is reduced is prevented.

Description

technical field [0001] The invention relates to the technical field of big data, in particular to a client data analysis system and method in a big data scenario. Background technique [0002] With the gradual development of network technology, more and more netizens browse videos on websites, so that they can learn about real and interesting events in time; Therefore, the client needs to improve the accuracy of the video provided to netizens; [0003] In the prior art, the client usually extracts keywords from videos recognized or collected by netizens, and obtains the categories of videos that netizens are interested in according to the keywords; however, the interest value aroused by this method is temporary. , this type of video screen is not continuous, and this method cannot really attract the interest of netizens. Therefore, it is necessary to process the video screen data with higher precision. SUMMARY OF THE INVENTION [0004] The purpose of the present inventio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/735G06F16/75G06F16/78G06F16/74
CPCG06F16/735G06F16/75G06F16/7867G06F16/74Y02D10/00
Inventor 熊占林
Owner 南京硕茂电子科技有限公司