Markov网页预测模型综述  

Survey of Markov web prediction model

作　　者：刘超慧[1] 吴庆涛[2] 

机构地区：[1]郑州航空工业管理学院计算机科学与应用系,河南郑州450015 [2]郑州航空工业管理学院计算中心,河南郑州450015

出　　处：《微型机与应用》2010年第18期1-4,共4页Microcomputer & Its Applications

基　　金：郑州航空工业管理学院青年基金项目(Q09js01)

摘　　要：介绍了基本的Markov浏览预测模型;讨论了扩展的Markov浏览预测模型,包括隐Markov模型、多Markov模型、混合模型、结构相关性模型;综述了各个模型的算法及其优缺点;分析了Markov浏览预测模型需要深入研究的问题。Markov prediction model is the basis for web prefetehing and personalized recommendation technique This paper firstly introduces basic Markov prediction model. Then several extended Markov Web navigation prediction models are introduced, including hidden Markov model, multi-Markov model, hybrid Markov model, structural-relation-based Markov model and so on. The algorithm and advantages and disadvantages of each model are summarized. Finally some problems of Markov web navigation prediction models are pointed out for further research.

关 键 词：数据挖掘 MARKOV模型 偏爱度 浏览路径预测 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]