基于瀏覽行為量化計算的用戶興趣網(wǎng)頁分析.pdf

1、重慶大學(xué)碩士學(xué)位論文基于瀏覽行為量化計算的用戶興趣網(wǎng)頁分析姓名：周智申請學(xué)位級別：碩士專業(yè)：計算機(jī)應(yīng)用技術(shù)指導(dǎo)教師：朱征宇20090531重慶大學(xué)碩士學(xué)位論文英文摘要ABSTRACTWebhasbecomeallimportantwaytogetinformationbypeople，withtheincreasinglygrowthofWebinformationpeoplehavetospendalotoftimetosearcha

2、ndbrowsetheinformationtheyneedSearchengineshavebecomethemostwidelyusedinformationretrievaltoolsHowevernowadays，themostofservicesprovidedbythesearchenginescallnotcompletelymaketheuserssatisfiedespeciallyforaparticularuser

3、spersonalizedserviceHowtoaccuratelycollectuserinterestingwebpagesistheimportantbasisforthevarietiesofpersonalizedservicestechnologyorsystemresearchanddevelopment，meanwhile，itisthekeyofpersonalizedservicewhichdeterminesth

4、equalityofthepersonalizedserviceprovidedbysystemThispaperisbasedontherecommendationsystemrealizationofacompletepersonalizedsearchengineservices，anditcompletesthefollowingresearchworks：①Makethedetailedanalysisoftheimporta

5、nceofvarietiesofbrowserbehaviorsfromtheuser’sinterestviewThebehaviorofuserbrowsingwebpagesCallreflecttheuser’sbrowsinginterestingatacertaindegree，usingtheseonthefieldofpersonalizedservice，wecanfindthatthereisacertainrela

6、tionshipbetweentheusersbrowsingbehaviorandtheusersinterestdegreeofwebpagesThispaperanalyzesthebrowsingbehaviorthatimpactsuser’sinterests，andproposesthemethodofconsideringuseI“averagebehaviorinthebehavioranalysisaccording

7、tothedisadvantagesofpresentUSerbehavioranalysis②Proposethequantitativecalculatingmethodofwebpagesinterestsofdifferentbrowsingbehavior，anddesignakindofinterestwebsiteextractiontechnologywhichisadaptiveforparametersItalsop

8、roposetheinterestwebsiteextractionmethodwhichismainlyautomaticextractionandauxiliarymanualextractionAdoptingthetechnologyofparameterselfadaptiveandnonnormalwebpagesautomaticallyremoving，takefulladvantageoftheinterestwebp

9、agesetsandnon—interestwebpagesetsgotinthecourseofextractiontograduallymodifyextractedparametersinordertoachievethepurposeofcorrectlycapturinguserinterestwebpages，whichsuppliesthereliable，highqualitydataforthefollowingweb