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1、2611 9qVol126 No. 112009M11 ComputerApplications and Software Nov. 2009=c:_贾志洋1 李伟伟1 张海燕21(2=Sv9S/ 2650092)2(SFviF avi163714)l: 2008- 04- 23bI,V3,5:Web!,WebkbK 1 有些网页为了增加访问量,通过欺骗搜索引擎,提高在搜索引擎的搜索结果中的排名,这些网页被称为/搜索引擎垃圾网页0或/垃圾网页0b将搜索引擎垃圾网页的检测看成一个分类问题,采用C4. 5分类算法建立决策树分类模型,将网页分成正常网页和垃圾网页两类b实验表明我们的分类模型可以有效地
2、检测搜索引擎垃圾网页b1oM 搜索引擎 垃圾网页 垃圾网页检测 决策树 C4. 5分类算法CONTENT2BASED SPAM WEB PAGE DETECTION IN SEARCH ENGINEJiaZhiyang1 LiWeiwei1 ZhangHaiyan21 (School of Computer Scienceand Information Technology, YunnanNormalUniversity, Kunming 650092, Yunnan, China)2 (Information Center, PetroChina Daqing PetrochemicalCo
3、mpany, Daqing 163714, Liaoning, China)Abstract In order to attractmore visits, someweb pages achieve higher rankings in a search engine. s resultsby deceiving the search en2gine. Theseweb pages are called/ search engine spam web page0 or / spam web page0. In this paper the spam web page detection in
4、 searchengine is deemed as a classification problem, we create adecision tree classificationmodelby C4. 5 classification algorithm, to separatewebpages into two categories, thenormaland thespam. Theexperiment results show that our classificationmodel can effectivelydetect spam webpage in search engi
5、ne.K eywords Search engine Spam web page Spam web page detection Decision tree C4. 5 classification algorithm0 :)9,YVc|r,+McX_1ZTbV1:vAcR-:TbyN,_5YVm4_,r4_Tb,t_5YVBt/T0ZT46b.,t_5/m0/10/Bt/:0,t:4r746T,N4_bi, /:0_r,7Oc/vnbV2,c:a):a:aYH/:0n,r1/7b,/:0_M1CLilb1 /:0ln5,D3/:0l: /mc:E:0bcRTH,E9:T,Google4Pag
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7、s1(:V?)bZmVS5407SVs,S59F,:V?9v9,110B.,:S5v120H:V?50%bVn,S5VT:Bz+b2. 2 :qc9:S1oMM1H,1SaltonMcGill1973M4TF/IDFE7bTF/IDFE1oM1Cq,Q1C1oMbNE,:V?YV:vB1oMb|:i9$-vl1|+,i|1:q,9:q,Tm3bVn,:qsVs,0. 31rK,ql0. 10H,:V?v60% ,#:q9:Bz+bm3 :q:12. 3 +(1):/ 0S& HTML, / 0S&$BHTML:,Y/ name0/ keywords0 (:1oM)/ description0 (:)bvcTMETAS&=v1,/ META0S&B:TQ:S5b:METAS&=:vuYbN,9B:/ 0S&a/ 0S&/ name0/ keywords0/:1oM0a/ 0S&/ name0/ keywords0/:0T!+b(2):URL :B13,yN:URL:AuY
