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Process for scoring job seeking behavior by @Joberate
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Process for scoring job seeking behavior by @Joberate
1.
Processforscoring jobseekingbehavior ... ThePredictiveAnalyticsLifeCycleincontextofJoberatetechnology Userinputof personthey wanttotrack Build(update) person’sunique predictivemodel Enrichwith SocialData Deploy predictive model OutputJ-Score movetostep3 (happensdaily) Prepareand formatperson’s datarecord Validateandtest thepredictive model Selectand/or Transform Whoislikelytoleave? 1 1 2 3 4 5 7 8 6 2 Tellthesystemwhichpeopleyou areinterestedintracking (manualinput,CSVfile,orAPI) API 2 Prepareeachperson’suniqueID forSocialDataenrichment UID HRIS/CRM ATS/Jobboard SocialProfile Ormanual inputor import Name Email Location Title ... 3+4 3+4 Analyzeandenricheachperson’sunique recordusingpubliclyavailableSocialData Exampleoftriggerscapturedfromtrainingdatathat changethescoreand/orweightingofthedata: Personwhoconstantly followsorlikesnewcompa- nyaccountsstartstofollow anewcompany =1pointincrease ByusingpeoplesearchenginesandSocialDataaggregators -Ensurethatthepersonwhoisdesignatedfortrackingiscorrect -Lookforchangesintheperson’spublishedcontentoractivities Followinglinksinpeople’s socialprofiles,addingrele- vantnewcontent Followinglinksintheper- son’ssharedcontenttoiden- tifyothersocialcontentor socialprofiles,addingrele- vantnewcontent OngoingSocialDatavalida- tiontoensuretheperson beingtrackedisthesame Analyzemeta-dataforthe siteswherethepersonis sharingcontent,todiscover potentialAPIrelatedthatcan beleveragedviapaidsources Personwithlittlefollowingor likingofanyjobrelatedcontent startstofollow/subscribetoa newsourceofjobrelatedcontent =5pointincrease Personwhoactivelyfollowsor likesjobrelatedcontentstartsto follow/subscribetoanewsource ofjobrelatedcontent =2pointincrease Personwhodoesnot activelyupdateprofession- alsection(s)ofsocialmedia profiles,makesanupdate =9pointincrease Personwhoactivelyupdates professionalsection(s)of theirsocialmediaprofile, makesanupdate =3pointincrease Personwhohasonlya fewconnectionswith recruiters,connectswitha singlenewrecruiter =4pointincrease Otherfactorsliketiming(frequency,timeofday)ofthe SocialDatachanges,andalsosimultaneousSocialData changesinmultiplesiteshaveacumulativeimpact Deploymodel: Personwithverylittle followingorlikingofany companyaccountsstarts tofollowanewcompany =8pointincrease ©Allrightreserved.Joberate.com 1 2 3 5 4 Contentexplorationviaexternal paidSocialDataproviders 5-DayReplay Formatnormalization URLExpansion KloutScores LanguageDetectionandFiltering PhraseandKeywordFilters GGeoFilters UserFilters Formatnormalization URLExpansion Plug-and-PlayStreams DuplicateExclusion OptimizedPolling ChoiceofProtocols Formatnormalization URLExpansion LanguageDetection DataStream DataStream
DataStream + + + Extractrelevantdata,and build(update)theperson’sunique predictivemodel Validateandtestthecurrentmodel (leveragetrainingandrealtimedata) 7 Deploypredictivemodel (basedonwhatactuallyhappened) 3+45+6 5+6 8 J-Score+other information isupdateddaily,and outputviaAPIorto theJoberatedashboard API
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