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Geojobr 3min 7-8-13_v2

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Page 1: Geojobr 3min 7-8-13_v2
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Nationally 7.6% of employable US citizens are unemployed

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Nationally 7.6% of employable US citizens are unemployed

Over 3 million jobs available

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I don’t know!!!

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Independent project

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Question: Can we encourage user behavior that will increase conversion (bill-sharing activity)?

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Question: Can we encourage user behavior that will increase conversion (bill-sharing activity)?

Experiment: Determine what parameters most distinguish high activity vs low activity users.

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Question: Can we encourage user behavior that will increase conversion (bill-sharing activity)?

Experiment: Determine what parameters most distinguish high activity vs low activity users.

Goal: Recommend areas of focus that may help increase conversion.

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STEP 1Mine data for

distinguishing user characteristics

Example: gender, number of friends, invitation status…

STEP 2 Define high activity and low activity

How often does a user list an expense to be shared? What are the tiers of reporting frequency?

STEP 3

Determine parameters most

predictive of a high activity user

Logistic regression to correlate user characteristics with activity

level

STEP 4Make

recommendation

%50 more high than low activity users connect through FB, so try

to encourage or make it easier for individuals to login through FB

Experimental Procedure

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Data mining

Data munging

Exploratory analysis, logistic regression

and data visualization

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Krystal St. JulienPhD candidate: Stanford Biochemistry

Current Bay Area Trivia Champions Precisioncupcaking.blogspot.com

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Defining demand:

Demandstate = #jobs/#unemployed * date_score

date_score = #list_days/#jobs

#list_days = Σ (today_date – post_date[job])Up to 50 jobs

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