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Live broadcast platform user interestingness mining system and mining method based on association rules

A technology of user interest and live broadcast platform, which is applied in the field of user interest degree mining system of live broadcast platform, can solve problems such as difficult to find association rules, and achieve the effect of shortening the calculation cycle, reducing calculation time and fast calculation speed

Inactive Publication Date: 2016-12-07
WUHAN DOUYU NETWORK TECH CO LTD
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AI Technical Summary

Problems solved by technology

In the existing technology, the mining of user interest is still based on personal experience, or simply through the method that the user watched the live broadcast room of A and also watched the live broadcast room of B, find out the association rules of A and B, and then give the current When a user watches live broadcast room A, recommend live broadcast room B to them. Manual screening is highly subjective, and it is difficult to find out association rules when the amount of data is large.

Method used

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  • Live broadcast platform user interestingness mining system and mining method based on association rules
  • Live broadcast platform user interestingness mining system and mining method based on association rules
  • Live broadcast platform user interestingness mining system and mining method based on association rules

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Embodiment Construction

[0036] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0037] see figure 1 As shown, the embodiment of the present invention provides a system for mining user interest in a live broadcast platform based on association rules, including: a data collection module for obtaining user behavior information on a live broadcast platform from a server, generating a sample transaction event library and a test transaction event library, The user behavior information is each viewing behavior of the user, which can be watching a certain live room, watching a certain section or watching a certain column. In this embodiment, the user watches a certain live room.

[0038] The association rule model building module uses the spark computing framework to mine the frequent patterns of the sampled transaction event database to obtain the association rule model, where the frequent pattern is the random viewing probabili...

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Abstract

The invention discloses a live broadcast platform user interestingness mining system and mining method based on association rules and relates to the technical field of data mining. The system comprises a data acquisition module for acquiring live broadcast platform user behavior information from a server and generating sampling transaction event library and a testing transaction event library, an association rule model establishing module for adopting a spark calculation framework to conduct frequency mode mining on the testing transaction event library to obtain an association rule model, a user interestingness output module for using the testing transaction event library as an input variable to input the association rule model, obtaining an output variable of the association rule model and using the output variable as user interestingness contents. The live broadcast platform user interestingness mining system has the advantages of being short in computing cycle and high in testing result accuracy and practicability.

Description

technical field [0001] The invention relates to the technical field of data mining, in particular to a mining system and mining method for user interest degree of a live broadcast platform based on association rules. Background technique [0002] With the rapid development of the live broadcasting industry, the number of users of live broadcasting websites is growing explosively. How to quickly and effectively tap users' viewing interests and recommend live broadcasting content that users are really interested in is an urgent issue for all live broadcasting websites to consider. In the existing technology, the mining of user interest is still based on personal experience, or simply through the method that the user watched the live broadcast room of A and also watched the live broadcast room of B, find out the association rules of A and B, and then give the current When users watch live broadcast room A, they recommend live broadcast room B to them. Manual screening is highly...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/2465
Inventor 龚灿
Owner WUHAN DOUYU NETWORK TECH CO LTD
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