personpagerank
pagerank 时间:2021-04-19 阅读:()
Topic-SensitivePageRankPresentedby:BratislavV.
Stojanoviunimatrix0@live.
comUniversityofBelgradeSchoolofElectricalEngineeringPage1/29IntroductionTheWorldWideWebisgrowingrapidlyTherearemorethan100millionwebsitesandmorethan10billionpagesoverthere!
Wedidn'tmentionthecontentthatcannotbeindexedbystandardsearchengines(Deepweb)!
Forexample,ifwetypetheword"golf"insideGoogle,wewillendupwitharound456millionresults!
Othersearchengineswillyieldmoreorlessdifferentresults.
Why"Whatmakesthefoundationofthesearchengine""Whydowepreferonesearchengineoveranother"BratislavStojanovi(unimatrix0@live.
com)|Page2/29ProblemDefinition"HowcanwefindexactlywhatwewantontheWWWinafastandefficientmatter"Everysearchengineneedstorankpages,buthowBiggerthevaluemeansthepagehasmorecontentBiggerthevaluemeansquerywordsaremorefrequentBiggerthevaluemeansthepageismoreimportantEverypagehasitsownrankofimportance,butwhatisimportanceTrafficanalysisFinancialstatementanalysisLinkstructureanalysis$$$BratislavStojanovi(unimatrix0@live.
com)|Page3/29ProblemImportanceNearly90%oftraffictomostwebsitesisfoundbyusingasearchengineordirectoryBratislavStojanovi(unimatrix0@live.
com)|Page4/29WheredousersclickmoreoftenWhatwillbetheresultofthequery"golf"ProblemTrendOureverydaylifeisclutteredwithatonsofdifferentinformationsFindingarealinformationhasbecomeevenmoredifficultTherehasbeenacoupleofmillionnewwebsitesadded,onlyinthelastyear!
Googleisthemostpopularwebsite,andthesecondmostvisitedwebsiteontheplanet!
BratislavStojanovi(unimatrix0@live.
com)|Page5/29ExistingSolutionsHITS(Hyperlink-InducedTopicSearch)HyperSearchPageRankHilltopSALSA(StochasticApproachforLinkStructureAnalysis)TrustRankAndmanyothervariants…BratislavStojanovi(unimatrix0@live.
com)|Page6/29Solution#1:HITSHubsandAuthoritiesJohnM.
Kleinberg,CornellUniversity,NY,'98ReflectsthetimewhentheinternetwasoriginallyformingTwotypesofpages:HubsAuthoritiesHubpageprovideslinkstogoodauthoritiesonthesubjectAuthoritypageprovidesagoodinformationaboutthesubjectBratislavStojanovi(unimatrix0@live.
com)|Page7/29Solution#1:HITSCriticism:ExpensiveatruntimeScoresarecalculatedusingsubgraphoftheentireWebgraphSimpleanditerativeQuery-specificrankscoreBratislavStojanovi(unimatrix0@live.
com)|Page8/29Solution#2:PageRankLawrence"Larry"Page,SergeyBrin,Stanford,1998UsedbytheGooglesearchengineUsesarandomsurfermodelRepresentsthelikelihoodthatapersonrandomlyclickingonlinkswillarriveatanyparticularpageProbabilitydistributionisevenlydividedamongallpagesintheWebgraphPageRankvalueiscomputedforeachpageofflineInterpretsahyperlinkfrompageitopagejasavote,bypagei,forpagejAnalyzesthepagethatcaststhevoteaswellBratislavStojanovi(unimatrix0@live.
com)|Page9/29Solution#2:PageRank"Pageisimportantifmanyimportantpagespointtoit"SimplifiedPageRankformula:r=PR(G)Input:WebgraphG=(V,E)Output:RankvectorrLetGhavennodes(pages)In-linksofpagei:HyperlinksthatpointtopageifromotherpagesOut-linksofpagei:HyperlinksthatpointouttootherpagesfrompageiBratislavStojanovi(unimatrix0@live.
com)|Page10/29Solution#2:PageRankOriginalPageRankformula:Dampingfactord=0.
85Moregeneralformula:Recursivedefinition!
Equationoftheeigensystem,wherethesolutiontoPisaneigenvectorwiththecorrespondingeigenvalueof1ComputationcanbedoneusingpoweriterationmethodBratislavStojanovi(unimatrix0@live.
com)|Page11/29Solution#2:PageRankBratislavStojanovi(unimatrix0@live.
com)|Page12/29P1P2P3P4I11111I2I3I4I5111110.
330.
330.
330.
50.
51P1P2P3P4I11111I211.
830.
330.
83I3I4I511.
830.
330.
830.
330.
330.
330.
1650.
1650.
831.
83P1P2P3P4I11111I211.
830.
330.
83I31.
831.
3250.
330.
495I4I51.
3251.
830.
330.
4950.
610.
610.
610.
1650.
1651.
3250.
495P1P2P3P4I11111I211.
830.
330.
83I31.
831.
3250.
330.
495I41.
3251.
270.
610.
775I51.
271.
3250.
610.
7750.
4420.
4420.
4421.
270.
3050.
3050.
775P1P2P3P4I11111I211.
830.
330.
83I31.
831.
3250.
330.
495I41.
3251.
270.
610.
775I51.
271.
5220.
4420.
7471.
5221.
270.
4420.
747ConvergesDEPENDS!
Solution#2:PageRankCriticism:QueryindependentrankscoreRandomsurfermodelnotappropriateinsomesituationsPronetomanipulations(Googlebombs,linkfarms…)InexpensiveatruntimeScoresarecalculatedusingtheentireWebgraphAlgorithmhashooksfor"personalization"BratislavStojanovi(unimatrix0@live.
com)|Page13/29Solution#3:TrustRankGyngyi,Garcia-Molina,Pedersen,Stanford&Yahoo!
,2004LinkanalysisalgorithmFindsmotivationinPageRankmanipulationUsedtosemi-automaticallyseparateusefulwebpagesfromspamWebspampagesarecreatedonlywiththeintentionofmisleadingsearchenginesHumanexpertscaneasilyidentifyspampages,butit'stooexpensivetomanuallyevaluateeverythingBratislavStojanovi(unimatrix0@live.
com)|Page14/29Solution#3:TrustRankSelectasmallsetofseedpagestobeevaluatedbyanexpertNow,extendoutwardfromtheseedsetandseeksimilarpagesbyusinglinksAlternatively,wecanpickasmallsetofspampagesTRcanbeusedtocalculatespammassSpammassisthemeasureoftheimpactoflinkspammingonapagerankingInsteadofPR,wecalculateInversePR"Pagesarebadiftheylinktobadpages"BratislavStojanovi(unimatrix0@live.
com)|Page15/29Solution#3:TrustRankCriticism:Semi-automatedseparationofreputable,goodpagesfromspampagesIncontrasttoPR,TRdifferentiatesgoodandbadpagesBasedonagoodseedsetoflessthan200pages,resultshaveshownthatTRcaneffectivelyfilteroutspamBratislavStojanovi(unimatrix0@live.
com)|Page16/29ProposedSolutionTSPR(Topic-SensitivePageRank)TaherH.
Haveliwala,StanfordUniversity,2003"Personalized"versionofPageRankInsteadofcomputingasinglerankvector,whydon'twecomputeasetofrankvectors,oneforeach(basis)topicUsestheOpenDirectoryProjectasasourceofrepresentativebasistopics(http://www.
dmoz.
org)orYahoo!
Calculateintwosteps,fullyautomatically:Pre-processingQuery-processingPreprocessingstepiscalculatedoffline,justaswithordinaryPageRankBratislavStojanovi(unimatrix0@live.
com)|Page17/29IsitbetterQuery-specificrankscoreFullyautomatedMakeuseofcontextStillinexpensiveatruntimeBratislavStojanovi(unimatrix0@live.
com)|Page18/29IsitoriginalThefirsttopic-sensitivepersonalizationofPageRankSourceofideasformanyotherpossiblepersonalizationsTahergotajobatGoogleInc.
in2003asamemberofSearchQualityGroupCited994timesonGoogleScholarBratislavStojanovi(unimatrix0@live.
com)|Page19/29TrendSearchincontextandsemanticwebareverypopulartopicsnowadaysTheywillcertainlyplayasignificantroleinthenextstepoftheWorldWideWebevolutionTheSemanticWebasaglobalvisionhasremainedlargelyunrealizedThereisabeliefthatWeb3.
0willdramaticallyimprovethefunctionalityandusabilityofsearchenginesBratislavStojanovi(unimatrix0@live.
com)|Page20/29Topic-SensitivePageRank1/7PageRankformula:r=PR(G)Topic-SensitivePageRankformula:r=IPR(G,v)IPRstandsfor"Influenced"PageRankInput:WebgraphG=(V,E)InfluencevectorisavectorofbasistopicstOutput:ListofrankvectorsrItmapspageito:pageiimportance,WRTtopictiBratislavStojanovi(unimatrix0@live.
com)|Page21/29Topic-SensitivePageRank2/7Forthesakeofsimplicity,let'sconsidersomepageiandonly16topics(categories):WecanpickthemfromthefirstlevelofODPStep1isperformedonce,offline,duringWebcrawlItusesthefollowingiterativeapproach:BratislavStojanovi(unimatrix0@live.
com)|Page22/29Foreachtopiccjεv{//Part1:Calcvjvj[i]=0;if(iεpages(cj)){vj[i]=1/num(pages(cj))}//Part2:Calcrjrj[i]=IPR(W,vj[i]);}Topic-SensitivePageRank3/7BratislavStojanovi(unimatrix0@live.
com)|Page23/29Step2assumesthatwecalculatesomedistributionofweightsoverthe16topicsinourbasisOnlythelinkstructureofpagesrelevanttothequerytopicwillbeusedtorankpageiExample:Queryis"golf"Withnoadditionalcontext,thedistributionoftopicweightswewoulduseis:Topic-SensitivePageRank4/7BratislavStojanovi(unimatrix0@live.
com)|Page24/29Ifuserissuesqueriesaboutinvestmentopportunities,afollow-upqueryon"golf"shouldberankeddifferently,withthebusiness-specificrankvectorExample:Queryis"golf",butthepreviousquerywas"financialservicesinvestments"Distributionoftopicweightswewoulduseis:Topic-SensitivePageRank5/7BratislavStojanovi(unimatrix0@live.
com)|Page25/29Attheend,calculatethecompositePageRankscoreusingthefollowingformula:Interpretationofthecompositescore:WeightedsumofrankvectorsitselfformsavalidrankvectorThefinalscorecanbeusedinconjuctionwithotherscoringschemesTopic-SensitivePageRank6/7BratislavStojanovi(unimatrix0@live.
com)|Page26/29Topic:SportsTopic:SportsAfterawhile:P1(sports)=0.
895P1(business)=1.
2731111111P1P2P3P4P5P6P7I11111111I2Topic:BusinessTopic:Business11andsoon…Finally:P1(sports,business)==0.
55*0.
895+0.
85*1.
273=0.
533110.
330.
330.
330.
330.
330.
3310.
330.
330.
33P1P2P3P4P5P6P7I11111111I2110.
330.
660.
331.
331.
33P1P2P3P4P5P6I1I2P1P2P3P4P5P6I1111111I2110.
330.
660.
331.
331.
331111P1P2P3P4P5P6I1111111I2………………Topic-SensitivePageRank7/7BratislavStojanovi(unimatrix0@live.
com)|Page27/29ConclusionImplicitlymakesuseofIR(InformationRetrieval)indeterminingthetopicofthequeryHowever,thisuseofIRisNOTvulnerabletomanipulation,becauseODPiscompiledbythousandsofvolunteereditorsUsingasmallbasissetisimportantforkeepingthequery-timecostslowFuturework:UsefinergrainedbasissetWeightingschemebasedonpagesimilaritytoODPcategory,ratherthanpagemembershiptoODPcategoryBratislavStojanovi(unimatrix0@live.
com)|Page28/29QuestionsandDiscussionBratislavStojanovi(unimatrix0@live.
com)|Page29/29Yes
Stojanoviunimatrix0@live.
comUniversityofBelgradeSchoolofElectricalEngineeringPage1/29IntroductionTheWorldWideWebisgrowingrapidlyTherearemorethan100millionwebsitesandmorethan10billionpagesoverthere!
Wedidn'tmentionthecontentthatcannotbeindexedbystandardsearchengines(Deepweb)!
Forexample,ifwetypetheword"golf"insideGoogle,wewillendupwitharound456millionresults!
Othersearchengineswillyieldmoreorlessdifferentresults.
Why"Whatmakesthefoundationofthesearchengine""Whydowepreferonesearchengineoveranother"BratislavStojanovi(unimatrix0@live.
com)|Page2/29ProblemDefinition"HowcanwefindexactlywhatwewantontheWWWinafastandefficientmatter"Everysearchengineneedstorankpages,buthowBiggerthevaluemeansthepagehasmorecontentBiggerthevaluemeansquerywordsaremorefrequentBiggerthevaluemeansthepageismoreimportantEverypagehasitsownrankofimportance,butwhatisimportanceTrafficanalysisFinancialstatementanalysisLinkstructureanalysis$$$BratislavStojanovi(unimatrix0@live.
com)|Page3/29ProblemImportanceNearly90%oftraffictomostwebsitesisfoundbyusingasearchengineordirectoryBratislavStojanovi(unimatrix0@live.
com)|Page4/29WheredousersclickmoreoftenWhatwillbetheresultofthequery"golf"ProblemTrendOureverydaylifeisclutteredwithatonsofdifferentinformationsFindingarealinformationhasbecomeevenmoredifficultTherehasbeenacoupleofmillionnewwebsitesadded,onlyinthelastyear!
Googleisthemostpopularwebsite,andthesecondmostvisitedwebsiteontheplanet!
BratislavStojanovi(unimatrix0@live.
com)|Page5/29ExistingSolutionsHITS(Hyperlink-InducedTopicSearch)HyperSearchPageRankHilltopSALSA(StochasticApproachforLinkStructureAnalysis)TrustRankAndmanyothervariants…BratislavStojanovi(unimatrix0@live.
com)|Page6/29Solution#1:HITSHubsandAuthoritiesJohnM.
Kleinberg,CornellUniversity,NY,'98ReflectsthetimewhentheinternetwasoriginallyformingTwotypesofpages:HubsAuthoritiesHubpageprovideslinkstogoodauthoritiesonthesubjectAuthoritypageprovidesagoodinformationaboutthesubjectBratislavStojanovi(unimatrix0@live.
com)|Page7/29Solution#1:HITSCriticism:ExpensiveatruntimeScoresarecalculatedusingsubgraphoftheentireWebgraphSimpleanditerativeQuery-specificrankscoreBratislavStojanovi(unimatrix0@live.
com)|Page8/29Solution#2:PageRankLawrence"Larry"Page,SergeyBrin,Stanford,1998UsedbytheGooglesearchengineUsesarandomsurfermodelRepresentsthelikelihoodthatapersonrandomlyclickingonlinkswillarriveatanyparticularpageProbabilitydistributionisevenlydividedamongallpagesintheWebgraphPageRankvalueiscomputedforeachpageofflineInterpretsahyperlinkfrompageitopagejasavote,bypagei,forpagejAnalyzesthepagethatcaststhevoteaswellBratislavStojanovi(unimatrix0@live.
com)|Page9/29Solution#2:PageRank"Pageisimportantifmanyimportantpagespointtoit"SimplifiedPageRankformula:r=PR(G)Input:WebgraphG=(V,E)Output:RankvectorrLetGhavennodes(pages)In-linksofpagei:HyperlinksthatpointtopageifromotherpagesOut-linksofpagei:HyperlinksthatpointouttootherpagesfrompageiBratislavStojanovi(unimatrix0@live.
com)|Page10/29Solution#2:PageRankOriginalPageRankformula:Dampingfactord=0.
85Moregeneralformula:Recursivedefinition!
Equationoftheeigensystem,wherethesolutiontoPisaneigenvectorwiththecorrespondingeigenvalueof1ComputationcanbedoneusingpoweriterationmethodBratislavStojanovi(unimatrix0@live.
com)|Page11/29Solution#2:PageRankBratislavStojanovi(unimatrix0@live.
com)|Page12/29P1P2P3P4I11111I2I3I4I5111110.
330.
330.
330.
50.
51P1P2P3P4I11111I211.
830.
330.
83I3I4I511.
830.
330.
830.
330.
330.
330.
1650.
1650.
831.
83P1P2P3P4I11111I211.
830.
330.
83I31.
831.
3250.
330.
495I4I51.
3251.
830.
330.
4950.
610.
610.
610.
1650.
1651.
3250.
495P1P2P3P4I11111I211.
830.
330.
83I31.
831.
3250.
330.
495I41.
3251.
270.
610.
775I51.
271.
3250.
610.
7750.
4420.
4420.
4421.
270.
3050.
3050.
775P1P2P3P4I11111I211.
830.
330.
83I31.
831.
3250.
330.
495I41.
3251.
270.
610.
775I51.
271.
5220.
4420.
7471.
5221.
270.
4420.
747ConvergesDEPENDS!
Solution#2:PageRankCriticism:QueryindependentrankscoreRandomsurfermodelnotappropriateinsomesituationsPronetomanipulations(Googlebombs,linkfarms…)InexpensiveatruntimeScoresarecalculatedusingtheentireWebgraphAlgorithmhashooksfor"personalization"BratislavStojanovi(unimatrix0@live.
com)|Page13/29Solution#3:TrustRankGyngyi,Garcia-Molina,Pedersen,Stanford&Yahoo!
,2004LinkanalysisalgorithmFindsmotivationinPageRankmanipulationUsedtosemi-automaticallyseparateusefulwebpagesfromspamWebspampagesarecreatedonlywiththeintentionofmisleadingsearchenginesHumanexpertscaneasilyidentifyspampages,butit'stooexpensivetomanuallyevaluateeverythingBratislavStojanovi(unimatrix0@live.
com)|Page14/29Solution#3:TrustRankSelectasmallsetofseedpagestobeevaluatedbyanexpertNow,extendoutwardfromtheseedsetandseeksimilarpagesbyusinglinksAlternatively,wecanpickasmallsetofspampagesTRcanbeusedtocalculatespammassSpammassisthemeasureoftheimpactoflinkspammingonapagerankingInsteadofPR,wecalculateInversePR"Pagesarebadiftheylinktobadpages"BratislavStojanovi(unimatrix0@live.
com)|Page15/29Solution#3:TrustRankCriticism:Semi-automatedseparationofreputable,goodpagesfromspampagesIncontrasttoPR,TRdifferentiatesgoodandbadpagesBasedonagoodseedsetoflessthan200pages,resultshaveshownthatTRcaneffectivelyfilteroutspamBratislavStojanovi(unimatrix0@live.
com)|Page16/29ProposedSolutionTSPR(Topic-SensitivePageRank)TaherH.
Haveliwala,StanfordUniversity,2003"Personalized"versionofPageRankInsteadofcomputingasinglerankvector,whydon'twecomputeasetofrankvectors,oneforeach(basis)topicUsestheOpenDirectoryProjectasasourceofrepresentativebasistopics(http://www.
dmoz.
org)orYahoo!
Calculateintwosteps,fullyautomatically:Pre-processingQuery-processingPreprocessingstepiscalculatedoffline,justaswithordinaryPageRankBratislavStojanovi(unimatrix0@live.
com)|Page17/29IsitbetterQuery-specificrankscoreFullyautomatedMakeuseofcontextStillinexpensiveatruntimeBratislavStojanovi(unimatrix0@live.
com)|Page18/29IsitoriginalThefirsttopic-sensitivepersonalizationofPageRankSourceofideasformanyotherpossiblepersonalizationsTahergotajobatGoogleInc.
in2003asamemberofSearchQualityGroupCited994timesonGoogleScholarBratislavStojanovi(unimatrix0@live.
com)|Page19/29TrendSearchincontextandsemanticwebareverypopulartopicsnowadaysTheywillcertainlyplayasignificantroleinthenextstepoftheWorldWideWebevolutionTheSemanticWebasaglobalvisionhasremainedlargelyunrealizedThereisabeliefthatWeb3.
0willdramaticallyimprovethefunctionalityandusabilityofsearchenginesBratislavStojanovi(unimatrix0@live.
com)|Page20/29Topic-SensitivePageRank1/7PageRankformula:r=PR(G)Topic-SensitivePageRankformula:r=IPR(G,v)IPRstandsfor"Influenced"PageRankInput:WebgraphG=(V,E)InfluencevectorisavectorofbasistopicstOutput:ListofrankvectorsrItmapspageito:pageiimportance,WRTtopictiBratislavStojanovi(unimatrix0@live.
com)|Page21/29Topic-SensitivePageRank2/7Forthesakeofsimplicity,let'sconsidersomepageiandonly16topics(categories):WecanpickthemfromthefirstlevelofODPStep1isperformedonce,offline,duringWebcrawlItusesthefollowingiterativeapproach:BratislavStojanovi(unimatrix0@live.
com)|Page22/29Foreachtopiccjεv{//Part1:Calcvjvj[i]=0;if(iεpages(cj)){vj[i]=1/num(pages(cj))}//Part2:Calcrjrj[i]=IPR(W,vj[i]);}Topic-SensitivePageRank3/7BratislavStojanovi(unimatrix0@live.
com)|Page23/29Step2assumesthatwecalculatesomedistributionofweightsoverthe16topicsinourbasisOnlythelinkstructureofpagesrelevanttothequerytopicwillbeusedtorankpageiExample:Queryis"golf"Withnoadditionalcontext,thedistributionoftopicweightswewoulduseis:Topic-SensitivePageRank4/7BratislavStojanovi(unimatrix0@live.
com)|Page24/29Ifuserissuesqueriesaboutinvestmentopportunities,afollow-upqueryon"golf"shouldberankeddifferently,withthebusiness-specificrankvectorExample:Queryis"golf",butthepreviousquerywas"financialservicesinvestments"Distributionoftopicweightswewoulduseis:Topic-SensitivePageRank5/7BratislavStojanovi(unimatrix0@live.
com)|Page25/29Attheend,calculatethecompositePageRankscoreusingthefollowingformula:Interpretationofthecompositescore:WeightedsumofrankvectorsitselfformsavalidrankvectorThefinalscorecanbeusedinconjuctionwithotherscoringschemesTopic-SensitivePageRank6/7BratislavStojanovi(unimatrix0@live.
com)|Page26/29Topic:SportsTopic:SportsAfterawhile:P1(sports)=0.
895P1(business)=1.
2731111111P1P2P3P4P5P6P7I11111111I2Topic:BusinessTopic:Business11andsoon…Finally:P1(sports,business)==0.
55*0.
895+0.
85*1.
273=0.
533110.
330.
330.
330.
330.
330.
3310.
330.
330.
33P1P2P3P4P5P6P7I11111111I2110.
330.
660.
331.
331.
33P1P2P3P4P5P6I1I2P1P2P3P4P5P6I1111111I2110.
330.
660.
331.
331.
331111P1P2P3P4P5P6I1111111I2………………Topic-SensitivePageRank7/7BratislavStojanovi(unimatrix0@live.
com)|Page27/29ConclusionImplicitlymakesuseofIR(InformationRetrieval)indeterminingthetopicofthequeryHowever,thisuseofIRisNOTvulnerabletomanipulation,becauseODPiscompiledbythousandsofvolunteereditorsUsingasmallbasissetisimportantforkeepingthequery-timecostslowFuturework:UsefinergrainedbasissetWeightingschemebasedonpagesimilaritytoODPcategory,ratherthanpagemembershiptoODPcategoryBratislavStojanovi(unimatrix0@live.
com)|Page28/29QuestionsandDiscussionBratislavStojanovi(unimatrix0@live.
com)|Page29/29Yes
- personpagerank相关文档
- belongingpagerank
- originatingpagerank
- matrixpagerank
- errorpagerank
- estimatepagerank
- pagepagerank
Vultr再次发布充值多少送多少活动
昨天我们很多小伙伴们应该都有看到，包括有隔壁的一些博主们都有发布Vultr商家新的新用户注册福利活动。以前是有赠送100美元有效期30天的，这次改成有效期14天。早年才开始的时候有效期是60天的，这个是商家行为，主要还是吸引到我们后续的充值使用，毕竟他们的体验金赠送，在同类商家中算是比较大方的。昨天活动内容：重新调整Vultr新注册用户赠送100美元奖励金有效期14天今天早上群里的朋友告诉我，两年...
HostDare（$33.79/年）CKVM和QKVM套餐 可选CN2 GIA线路
关于HostDare服务商在之前的文章中有介绍过几次，算是比较老牌的服务商，但是商家背景财力不是特别雄厚，算是比较小众的个人服务商。目前主流提供CKVM和QKVM套餐。前者是电信CN2 GIA，不过库存储备也不是很足，这不九月份发布新的补货库存活动，有提供九折优惠CN2 GIA，以及六五折优惠QKVM普通线路方案。这次活动截止到9月30日，不清楚商家这次库存补货多少。比如 QKVM基础的五个方案都...
RackNerd($199/月),5IP,1x256G SSD+2x3THDD
我们先普及一下常识吧，每年9月的第一个星期一是美国劳工节。于是，有一些服务商会基于这些节日推出吸引用户的促销活动，比如RackNerd有推出四款洛杉矶和犹他州独立服务器，1G带宽、5个独立IP地址，可以配置Windows和Linux系统，如果有需要独立服务器的可以看看。第一、劳工节促销套餐这里有提供2个套餐。两个方案是选择犹他州的，有2个方案是可以选择洛杉矶机房的。CPU内存SSD硬盘配置流量价格...
pagerank为你推荐
-
Securityasp芜湖三七互娱网络科技集团股份有限公司wordpress模板wordpress的模版怎么用开启javascript电脑怎样开启javascript？？？？？？？？？要步骤！！！！！！？！重庆电信断网电信光纤一直掉线，打电话问说是机房出了问题 要排查，已经一个星期了还没弄好，大概需要多久才能弄好？conn.asp数据库连接出错，请打开conn.asp文件检查连接字串。asp.net什么是asp.net360邮箱请问360邮箱怎么申请360公司迁至天津公司名字变更，以前在北京，现在在天津，跨地区了怎么弄？asp.net网页制作ASP.NET设计网页的方法？