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News recommendation method, system and computer equipment based on user behavior detection

A behavior and user technology, applied in the field of data analysis, can solve problems such as ignoring the production environment and insufficient optimization capabilities, and achieve the effects of accelerating mining speed, reducing running time, and avoiding useless calculations

Active Publication Date: 2022-06-03
CHONGQING UNIV OF POSTS & TELECOMM
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AI Technical Summary

Problems solved by technology

However, the traditional association rule method has insufficient optimization ability in terms of lift
In addition, many researchers ignore the real production environment, such as data mining tasks for growing data

Method used

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  • News recommendation method, system and computer equipment based on user behavior detection
  • News recommendation method, system and computer equipment based on user behavior detection
  • News recommendation method, system and computer equipment based on user behavior detection

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Experimental program
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Embodiment Construction

[0034] FIG. 2 is a flowchart of a method for extracting frequent itemsets of user behavior provided by an embodiment of the present invention. This embodiment is shown in Figure 1

[0040] For the frequent itemsets with different numbers of items, set the running split value to divide the frequent itemset mining process into two mining processes.

[0044] The relatively frequent itemsets RFIs are divided into different layers according to the length of the itemsets. The longer the lengths of the itemsets, the higher the layers.

[0046]

[0048]

[0056] S21, determine the minimum support threshold MinSup and the number of partitions nPart according to experience. nParts are set up so that T

[0058] Set the running split value ε to divide the frequent itemset mining process into two mining processes, and mine items with n1 items.

[0059] Mining RFIs on each sub-user behavior dataset

[0060] S23, construct a tree composed of RFIs. First, the RFIs are divided into different lay...

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Abstract

The present invention relates to a news recommendation method, system and computer equipment based on user behavior data detection. The method includes: converting user news click behavior data to generate a processable user behavior data set, and filtering out user behavior data in the user behavior data set. For non-frequent behavior, use the frequent itemset serial mining algorithm to obtain relatively frequent itemsets, construct a relatively frequent itemset tree formed by relatively frequent itemsets in user behavior, find out the optimal frequent itemsets, and calculate the optimal user behavior The complete support of frequent itemsets, according to the complete support, generates association rules related to frequent itemsets of user behavior, and recommends news to users according to the association rules. The present invention can fully consider the real production environment and efficiently process massive user behavior data sets. It belongs to the field of data analysis technology.

Description

News recommendation method, system and computer equipment based on user behavior detection technical field The present invention relates to the technical field of data analysis, in particular, to a new method based on user behavior data detection. Wen recommends methods, systems and computer equipment. Background technique [0002] The news recommendation algorithm is a hot spot in the current new media research. The gate recommendation method was developed and used extensively on sites such as Yahoo. In the current era of big data, personalized computing Legal recommendation and information flow display become mainstream. With the development of communication technology and mobile Internet of Things, the scale of data is becoming more and more big. Data mining can extract important information from large-scale data, and it is widely used in various fields, such as user behavior. For analysis, spatial prediction and network security detection, etc. However, class...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9535G06F16/2458
CPCG06F16/9535G06F16/2465
Inventor 代劲郭亮夏鲁宏胡峰
Owner CHONGQING UNIV OF POSTS & TELECOMM
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