Internet

Online Dating

Application Area: 

Project Details

Term: 

2006

Students: 

Vivek Arora, Tawney Bains, Ekta Mittal, VikasTiwari, Vishwas

University: 

UMD

Presentation: 

PDF icon Online Dating.pdf

Online Websites are facing more competitionas communities become more fickle and unpredictable. Websites need to attract larger audiences while keeping current users engaged. The goal of this project is to build a model to understand what contributes to a user’s success in online dating, and in particular what factors affects receiving a message. The data used were from an online dating service provider in Israel (we thank Prof Sheizaf Rafaeli from Haifa University for sharing the data)

Characterizing Identity Theft Victims

Application Area: 

Project Details

Term: 

2007

Students: 

Mehmet Hondur, Benjama Kounthongkul, Patcharaporn Makarasara, Brenda Martineau, Sophie Shuklin

University: 

UMD

Presentation: 

PDF icon Identity Theft.pdf

Report: 

PDF icon Identity Theft REPORT.pdf

The project goal is to understand the characteristics related to being a victim of identity theft, using data from the Federal Trade Commission's Identity Theft Survey Report

Comparing apartment ratings in DC vs. suburbs

Application Area: 

Project Details

Term: 

2006

Students: 

Jerome Lopez, Kenneth Ng, Sanjay Srivastava, Vishal Bhotika

University: 

UMD

Presentation: 

PDF icon AptRatingDC.pdf

The goal of this project is to understand the perceived characteristics of apartments in Washington DC, and comparing them with apartments in DC's surrounding suburbs. This is done using data from ApartmentRatings.com

Predicting New Customer Retention for Online Dieting & Fitness Programs

Application Area: 

Project Details

Term: 

2007

Students: 

Amy Brunner • Harin Sandhoo Lilah Pomerance • Paola Nasser Srinath Bala

University: 

UMD

Presentation: 

PDF icon OnlineFitness.pdf

Report: 

PDF icon OnlineFitness.pdf

Gymamerica.com is an online personal trainer. The goal of this project is to help the company predict whether a new user user will become a paying customer after the 10-day free trial.

Predicting ZILLOW.com’s Zestimate accuracy

Application Area: 

Project Details

Term: 

2009

Students: 

Sirisha Kilambi, Pramod Mane, Beena Nair, Mehul Shah, Tabrez Shaikh

University: 

UMD

Presentation: 

PDF icon Zestimate_Presentation.pdf

Report: 

PDF icon Zestimate Report.pdf

Zillow.com is the real estate service launched in 2006. It calculates a Zestimate-home valuation as a starting point for anyone to see -for free- for most homes in the U.S. Zillow indicates that for MD and VA they get only about 26% of predictions within the +/-5% range only.

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