User behavior analysis method and system based on big data

Abstract

The invention discloses a user behavior analysis method and system based on big data. According to the method, user behavior data are collected through a client side in real time, user behaviors and contextual information of a page URL are combined, the real scene that a user browses Web pages is reproduced to the greatest extent, comprehensive user behavior tracks are extracted, and effective data assurance is provided for analyzing the user behaviors; security assurance is provided for the user behavior data through a safety analysis module, and a user behavior data body model is used for modeling the user behaviors, so that behavior information semantic levels are shared and reused, and the interoperability and the reliability of the model are improved; the user behavior and context data are collected in real time for analysis, so that a result is more reliable; body and behavior information is stored through a column storage database, and therefore the foundation of massive data management is laid; the powerful processing capacity and the large-scale data storage capacity of the cloud computing technology, the body and a reasoning and knowledge discovery method of the body are combined, the massive user behavior data are analyzed in real time to obtain user interest in time, and then effective and accurate user push is achieved.

Description

technical field [0001] The invention relates to the field of data analysis, in particular to a user behavior analysis 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 monitor, predict, and even control user behavior. 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 more active and intelligent services for website visitors; on the other hand, From the different manifestations of user behavior, discovering their interests and preferences can optimize the organizational relationship between pages and improve the system structure of the website, thereby...

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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