商务英语4人组会议对话脚本.docx
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商务英语4人组会议对话脚本.docx
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商务英语4人组会议对话脚本
商务英语-4人组-会议对话脚本(总8页)
G:
Goodmorning,JingdongCorp.CanIhelpyou?
N:
Hello,I`dliketospeaktoh,please.
G:
MayIaskwhoiscalling,please?
N:
MynameisnofTianjinUniversity.Lasttime,wetalkabouttheprojectaboutthebigdataappliedtoelectronic commerce.WhenwoulditbeconvenientforyoutocomeWecandiscussthedetails.
G:
Oh,waitforasecond.Iwillcheckourschedule.Well,howaboutthisafternoon
N:
Ok.
H:
OK,everyone.Let’sgettheballrolling.Comeandsitdown.Wewillstartthemeeting.First ofall,afewwords on ourcompany—Jingdongshoppingmall.Itisoneofthelargeste-businessenterprisesinChina.Andtheproductsareinmanyspecies,nearlyallofwhichcanmeetusinourdailylives,suchascomputers,mobilephonesandotherdigitalproducts,homeappliances,clothingandsoon.
G:
Withtherapiddevelopmentofeconomyandtheincreasednumbersofclient,thecompetitionbetweenelectronicsupplierisfiercerthanbefore.Weexpectthatourcompanycanrealizethemaximizationoftheintereststhroughcooperatingwithyour laboratory.Ihopeyoucantalkaboutyouropinions.
L:
Recentyears,bigdatahasappliedintoalotofE-commerce.Webelievethatitwillbeveryhelpfulforyourrequest.Actually,ourlabaredoingsomeresearchaboutbigdatarecently.
H:
Canyoutellthedetailaboutthetechniqueofbigdata
N:
Bigdatahavefourattributes.Theyarevolume,variety,velocityandvalue.First,thedatavolumeishuge.FromthelevelofTB,jumpedtoPBlevel.Second,ithasvariousdatatypes,includingweblog,video,picture,location,andsoon.Third,itneedsfastprocessingspeed.Wewouldquicklyobtainhighvaluefromvarioustypesofdatainformation.Fourth,aslongasusedatareasonablyandfocusonthecorrectandaccurateanalysis,wewillobtainahighvalueinreturn.
H:
Iheardofbigdata,butalwaysthoughtitwastheamountofdataishuge.Ourcompanyalsodidsomeprojects related tohugedataprocessing.
L:
Justlikehesaid.Bigdataisnotjustaboutitsquantity.Themoresignificantthingisitsvaluehidebehindthebigdata.Andourtargetisusingcomputertechnologytodosomedataminingandfindwhatisvaluable.
G:
Ourcompanyhasaccumulatedalotofinformation,suchasdataaboutthecommoditiesandthepurchasing behavior.However,wemerelymadesomestatement analysesandsalesranking basedonthesedata,whichmayignoresomeotherimportantdetails.
H:
Listenedtoyourdiscussion,Ithinkthedatathatweownisnotonlyingreatnumbers,butalsohasverybigpotential.Doyouhaveanyidea?
N:
Doyouknowthestoryofbeeranddiaper
Throughthestatisticsandanalysisoftheconsumptiondata,somescholarsfoundthatthemanwhoboughtbeerwillbuydiaperingeneral.BecauseAmericanwomenwhotakecareofbabyathome,willasktheirhusbandtobuydiaperonthewayhome.Theirhusbandmaybuysomebottlesofbeerwhentheybuydiaper.Asaresult,somestoresputbeeranddiaperinoneplaceinordertogetbettersales.
H:
Doesthismeanthatwecanfindsomecommoditycombinationsfromthedatatorecommendtotheuser,thusincreasingtheirpurchases.
L:
Actually,wecandomoreonthesedata.Intheareaofdatamining,thereisaspecialalgorithmnamedcollaborativefiltering.Itconcernedaboutpeople’sactiononbuying,collectingandviewingongoods,whichcanfindthesimilaritybetweendifferentpeople.Sowecanrecommendparticulargoodstoparticularperson.
H:
I think it'sa brilliant idea.
G:
Thatsoundsreallygood.ButIthinkitseemsalittledifficulttoachievethisgoal.We havetried to recommendthecommodities whichthecustomers maybeinterestedin.Unfortunately,theamountsofeconomicinvestmentdidn’tobtainthecorrespondingresults.SoIwonderwhetheryourlabhasdoneanysimilarissuesbefore?
N:
Weusedtomakee-commercerecommendersystemforsomesmallandmedium-sizedenterprises.Theireconomicbenefitsareimprovedsharply.
H:
Butinyourproject,theamountofdataissmall,isn’tit?
L:
Youareright.Butinthedevelopingofthatrecommendsystem,wealsoconcernedaboutalotofproblem,andbigdataisunderourconsideration.
G:
Doyoumeanthatyouhavealreadyimplementedanexcellentsystemthatcanmeetourrequirementsperfectly?
N:
Notlikethat,thisrecommendationsystemsusedindifferentareasneedtodosomeadjust.
L:
What’smore,withthegrowingofourtechnology,wecanpromotesuchsysteminmoreways.Ibelievethatitcanbringmorebenefittoyourcompany.
H:
Verywell.Untilnowthetopicwetalkaboutisjustforanalyzingbuyingbehaviors.Consideringthatin2013,ourcompany'sactiveusershadreachedmillion.Sowecanreallydosomethingonthispoint.Nowwejustclassifytheseusersfromthepointofthepurchaseamount.Weshouldconsiderthisfrommoreviewpoints,whatdoyouthink
G:
Nowadays,thefociofourcustomersarevarious.Forinstance,somepayattentiontothequalityofcommodities.Atthesametime,othersmaykeep a watchful eye oncommodity price.However,wedidnotclassifyuser'sinformationfromtheseaspects.
H:
Welldone.Inthisway,wecanprovidepersonalizedmarketingstrategiesforthedifferentcategoriesofusers,suchaswecanprovideinstallmentforhighercreditusersandmorecouponsforhigherloyaltyusers.Soweneedtoclassifyusersinmoredimensions.
G:
Yeah,themoreclassificationsthereare,thebettertheresultswillbe.Ideemit’sadvisabletoregardthispointasabreakthroughforfurtherstudy.
N:
Whatyoujustsaidcanberealizedbyclusteringandclassificationalgorithm.Wegatherourusersintosomeclusters.Whenwemeetanewuser,wejustneedtoknowwhichclusterhebelongsto.Andthosetwoalgorithmsisthestrengthsofourlaboratory.Thisisfeasible.
G:
Asthetechnical consultantofourcompany,I havebeen tryingto achieveasimilarprojectbutfailed. Iguessthisisprobablybecausetheinformationweownedissoenormousthatitcanhardlyusethetraditionalalgorithms.
H:
Whetheryourlabcanmakeeffectivemeasurestosolvethisproblem?
L:
Yes,ofcourse.Wehavementionedafeatureaboutbigdataintheearlytime.Oneofitsfeatureisvelocity.Here,wehavetoputforwardanewwordnamed‘CloudComputing’.Thisisanewcomputingmodelwhichcombinedalotofserverintoonecluster,whichcanpromotetheworkingspeedverymuch.
N:
Thisrequiresalotofserverclusters.
H:
Youdon'tneedtoworryaboutthispoint,ifyouhavetheconfidencetoachievethisgoal,wetryourbesttomeetyourdemand.
G:
Doyouhaveanyotherideasorsuggestions
N:
Wehavediscussedtheuserinformationdataandshoppinginformationdata,whataboutstoreinformationdata.
H:
Asyousaid,wereallyhaveaproblemwiththispart.Inordertohelpsomeshopswhichhaveverygooddevelopmentprospectbutinsufficientcashflow.Weneedprovidedifferentamountofloansforthem.
G:
Theproblemisthathowtodeterminetheloanamountsoftheseshops.Soitisnecessaryforustopredicttheircorrespondingsales.Whatdoyouthinkaboutthis?
L:
Whatyousaidisanotherclassicalquestion,whichispredictionproblem.Intheresearchofmachinelearning,therearealotofmodelsaboutprediction.Ifthereareenoughdata,wecanbuildastrictmathmodeltomakeprediction.Anditcanguaranteeasuitableaccuracy.
G:
Asyoumentionedabove,thismightbeamathproblem.Butyourmajoriscomputerscienceandtechnology,doyouhaveconfidencetofinishthewholeproject?
N:
Ourlaboratoryhappentohavestudentfromdepartmentofmathematics.Andcomputerscienceisakindofmathematicsinnature,wehavetheconfidencetocomplete.
H:
Listentoyourintroduction,wethinkyourresearchprojectisgreat.Itcanreallyhelpourcompany.Next,westarttotalkaboutspecificcooperationissues.
L:
Wewillprovideyourcompanywithsupportinalgorithm,platformanddeveloperandsoon.Wewantyourcompanyprovidinguswithsupportindata,fundandground.
G:
Okay,noproblems.We will sortout thespecificdetailsofthecontract.AndIhopeyou canprovideuswith projectdescriptionnexttime.
H:
Themeeting went offvery well.We honest expect with you establish goodandlong cooperation relationinthenear future.
N:
Wewilltryourbesttocompletetheproject.
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