Big data-based user behavior analysis processing method and system

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...

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 and context information. Therefore, the storage capacity and computing speed of the system are stronger, so that the analysis results can be fed back to users in a timely manner.

At present, most user behavior analysis systems use relational database technology and traditional data processing methods, which cannot meet the needs of efficient analysis of massive data.

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