基于关键词分析的企业网站用户行为挖掘算法  

A User Behavior Mining Algorithm for Enterprise Websites Based on Keyword Analysis

作　　者：尹凤兰[1] YIN Fengan(Management Training Institute of China Metallurgical Geololgy Bureau,Beijing 101300,China)

机构地区：[1]中国冶金地质总局干部培训学院,北京101300

出　　处：《信息与电脑》2023年第24期73-75,129,共4页Information & Computer

摘　　要：针对传统企业网站用户行为挖掘算法效率低的问题,提出基于关键词分析的企业网站用户行为挖掘算法。通过预处理用户行为数据并获取移动终端源的关键词搜索行为数据,建立了企业用户兴趣收集模型;根据用户行为的在线收集模型,在短时间内生成企业产品宣传列表,以提高挖掘效率并增加挖掘加速比。实验结果表明,该方法可以在短时间内提高挖掘效率并增加挖掘加速比。This study proposes a keyword analysis based enterprise website user behavior mining algorithm to address the low efficiency of traditional enterprise website user behavior mining algorithms.By preprocessing user behavior data and obtaining keyword search behavior data from mobile terminal sources,an enterprise user interest collection model was established.Based on the online collection model of user behavior,generate a promotional list of enterprise products in a short period of time to improve mining efficiency and increase mining acceleration ratio.The experimental results show that this method can improve mining efficiency and increase mining acceleration ratio in a short period of time.

关 键 词：用户行为 挖掘算法 企业网站 关键词分析 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]