Big data-based user behavior analysis processing method and system

A technology of behavior analysis and processing method, applied in the direction of electronic digital data processing, special data processing applications, instruments, etc., can solve the problem of insufficient timely description of user access to the website situation, can not well meet the efficient analysis of massive data, etc., to achieve effective Pushing with precise users, improving interoperability and reliability, and reliable results

Inactive Publication Date: 2017-02-01
苏州七彩部落网络科技有限公司
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AI Technical Summary

Problems solved by technology

[0003] For the analysis of user behavior, a lot of research has been done at home and abroad, but there are some problems: first, most of them focus on mining WEB logs, but these logs are not enough to describe the situation when users visit the website in time; second, large websites generally have huge Online users generate a huge amount of real-time behavior a

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  • Big data-based user behavior analysis processing method and system
  • Big data-based user behavior analysis processing method and system

Examples

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Embodiment Construction

[0030] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, so that those skilled in the art can better understand the present invention and implement it, but the examples given are not intended to limit the present invention.

[0031] Such as figure 1 As shown, the user behavior analysis and processing method based on big data of the present invention includes:

[0032] Step 101: collect user behavior data in real time, and then upload to the server for storage;

[0033] Step 102: Preprocessing and aggregating user behavior data;

[0034] Step 103: According to the aggregated user behavior data, a user behavior data ontology model is established and stored in the database;

[0035] Step 104: reasoning on the user behavior data ontology model to find out the latest interest data of the user;

[0036] Step 105: According to the user's latest interest data, calculate the interest similarity between each ...

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Abstract

The invention discloses a big data-based user behavior analysis processing method and system. The method comprises the following steps of: A, acquiring user behavior data in real time and uploading the user behavior data to a server to store; B, pre-processing and aggregating the user behavior data; C, establishing a user behavior data noumenon model according to the aggregated user behavior data and storing the user behavior data noumenon model in a database; D, reasoning the user behavior data noumenon model to find user newest interest data; and E, calculating the interest similarities between the users according to the user newest interest data so as to construct an interest similarity matrix, and carrying out model recommendation on the basis of collaborative filtration. According to the method and system disclosed by the invention, the user behavior data is acquired in real time through a client, so that the sharing and reusing of the behavior information are realized and the model interoperability and reliability are improved; and mass user behavior data is analyzed in real time through a cloud computation technology so as to obtain the user interests in time, so that the effective and accurate user push is realized.

Description

technical field [0001] The present invention relates to a big data processing technology, specifically, a user behavior analysis and processing method and system based on big data. Background technique [0002] User behavior analysis is to analyze the rules and personalized habits of users when using network resources. Its purpose is to collect, analyze and predict user behavior, and user interest is the specific performance of users' personalized characteristics for network resources. Today, with the rapid development of the Internet, analyzing user behavior, extracting user interest, and understanding its characteristics, on the one hand, user personalized customization and push can be carried out to provide users with more active and intelligent services; on the other hand, From the different performances of user behaviors, discovering their interests and preferences can optimize children's intelligence and hands-on ability, improve early education, and make it more refin...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/9535
Inventor 张凡
Owner 苏州七彩部落网络科技有限公司
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