摘要
对电子商务网站的用户访问模式挖掘的方法和模式的应用做了系统的论述。在数据的预处理技术方面,提出了新的框架过滤算法、识别搜索引擎Robot产生的访问记录的技术和会话子序列生成算法,并就站点性能改善、个性化服务、实现商业智能三方面的应用对用户访问模式的挖掘做了探讨,最后给出了从语义上理解和挖掘用户访问行为的方法。
The method and application of mining user access patterns at e-commerce sites are addressed. The techniques of data pre-processing are discussed. The Frame filtering technique, search engine robots detecting technique, session sub-sequence generating technique are proposed. And, the three applications of user access patterns mining are discussed, which include site performance improving, personalization and business intelligence. Finally, the method of understanding and mining user access patterns on semantic is proposed.
出处
《微电子学与计算机》
CSCD
北大核心
2005年第5期170-174,共5页
Microelectronics & Computer
基金
佛山科学技术学院科研基金资助
