Date post: | 24-Jun-2015 |
Category: |
Technology |
Upload: | krystalstjulien |
View: | 152 times |
Download: | 3 times |
Nationally 7.6% of employable US citizens are unemployed
Nationally 7.6% of employable US citizens are unemployed
Over 3 million jobs available
I don’t know!!!
Independent project
Question: Can we encourage user behavior that will increase conversion (bill-sharing activity)?
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.
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.
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
Data mining
Data munging
Exploratory analysis, logistic regression
and data visualization
Krystal St. JulienPhD candidate: Stanford Biochemistry
Current Bay Area Trivia Champions Precisioncupcaking.blogspot.com
Defining demand:
Demandstate = #jobs/#unemployed * date_score
date_score = #list_days/#jobs
#list_days = Σ (today_date – post_date[job])Up to 50 jobs