基于Web结构挖掘的搜索引擎作弊检测方法  

Detection method for search engine spam based on Web structure mining

作　　者：冉丽[1] 何毅舟[2] 许龙飞[1] 

机构地区：[1]暨南大学计算机科学系,广东广州510632 [2]暨南大学网络中心,广东广州510632

出　　处：《计算机应用》2004年第10期158-160,共3页journal of Computer Applications

基　　金：广东省科技计划项目(2003C101037);广东省自然科学基金重点项目(010421)

摘　　要：搜索引擎作弊行为从搜索引擎优化中演变而来,却对网络发展带来负面影响。通过构造站内站外精简模型用于判断几类作弊行为,得出PageRank改进算法中惩罚因子的公式和其中三个函数的特征,展望了搜索引擎作弊检测方法的发展前景。Search engine spam is an offset outcome of search engine spam,imposing negative effect on Web development however. With reduced model of Web site inside and out to judge some kinds of search engine spam,a punish multiplier formula and characteristics of three functions in proved algorithm on pagerank were described. At last,a future look at the detection method for search engine spam was presented.

关 键 词：WEB结构挖掘 搜索引擎作弊 精简模型 PAGERANK 

分 类 号：TP393.07[自动化与计算机技术—计算机应用技术]