2024年4月28日发(作者：)
基于大数据的用户行为分析与预测研究（英文中文双语版优
质文档）
I. Introduction
With the development of Internet technology, people are
increasingly inseparable from the Internet, and more and
more information is recorded, which is called big data. The
mining and analysis of big data is crucial to the
decision-making and development of enterprises, and user
behavior data is a very important part of it. User behavior
data refers to various data generated by users when using
products or services, including user access records, click
records, purchase records, etc. These data reflect users' needs,
interests, and behavioral habits for products or services. Said
that these data can be used for user behavior analysis and
prediction.
2. User Behavior Analysis
User behavior analysis is to obtain the rules and trends of user
behavior through statistics, analysis and mining of user
behavior data, so as to provide a basis for enterprise
decision-making. User behavior analysis mainly includes the
following aspects:
1. User interest analysis
User interest analysis refers to the analysis of user behavior
data to understand the user's points of interest, so as to
recommend personalized products or services for enterprises.
Specifically, by analyzing the user's search records, purchase
records, browsing records, etc., the user's points of interest
and preferences can be obtained, and products or services
that better meet the user's needs can be recommended for
enterprises.
2. User behavior path analysis
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