Internet

Forecasting Next-day Smartphone Usage for Self-Time Management

Application Area: 

Project Details

Term: 

Fall 2023

Students: 

Lai Heng Sim, Kuan-Chung Chen, Yu-Pei Lin, Yi-Jiuan Chung

University: 

NTHU

Report: 

Presentation Recording

Business problem
People often overuse their smartphones due to a lack of effective time management
tools. Our solution involves creating a predictive model based on historical data to guide
users in setting reasonable time limits, benefiting those interested in self-time management.

Forecasting the daily traffic from Facebook fan page to content website for TC Incubator

Application Area: 

Project Details

Term: 

Fall 2018

Students: 

Sam Kuo, Astro Yan, Serina Hung, Jay Lee

University: 

NTHU

Presentation: 

Report: 

TC Incubator is dedicated to strengthening youth innovation, focusing on helping entrepreneurs by providing consultants. TC also operates an official information website
called "Jinrih Deliver", which promotes and attracts users to the official website by managing

Preparing for future: Forecasting cab booking trends for different booking methods

Application Area: 

Project Details

Term: 

2013

Students: 

Nikhil Gupta, Deepti Singh, Shriya Shekhar, Piyush Gupta, Piyush Singh

University: 

ISB

Presentation: 

Report: 

Our client Yourcabs.com operates a platform to efficiently connect consumers in need of transport, with vendors in need of increased occupancy. Customers can make bookings through 3 possible methods- Online, Mobile website and phone. While traditionally most of the bookings have been coming from the phone method, the other 2 methods are fast catching up in terms of no of bookings being made. To maintain infrastructure to cater to a certain demand level in any of the booking methods, certain fixed and variable cost is incurred by our client.

Predicting Indian Movie Ratings on IMDB

Application Area: 

Project Details

Term: 

2011

Students: 

Anand Agarwal, Ayesha Rahman, Motoki Saito, Rangasayee Chandrashekhar, Srikanth S V

University: 

ISB

Presentation: 

Report: 

The Indian movie industry produces the maximum number of movies per year at 1000/year, higher than any other country’s movie industry. However, very few movies taste success and are ranked high.

Prosper.com: Improving Lending Through Modeling Defaults

Application Area: 

Project Details

Term: 

2010

Students: 

Lindsey Cohen, Ross Dodd, Wells Person, Amy Rzepka

University: 

UMD

Presentation: 

Report: 

Prosper.com is an online peer-to-peer lending system for borrowing money and investing in loans
through an open and transparent auction model. Prosper.com borrowers create credit profiles
containing information lenders can review before determining whether to invest or not in a
borrower. Even with this information, one challenge Prosper.com lenders face is being able to

A recommendation system for BookCrossing.com

Application Area: 

Project Details

Term: 

2010

Students: 

Anurag Sharma, Nitesh Batra, Sandip Chaudhary, Siddharth Chatterji, Siddharth Singh

University: 

ISB

Presentation: 

Report: 

BookCrossing is defined as "the practice of leaving a book in a public place to be picked up and read by others, who then do likewise." The term is derived from bookcrossing.com, a free online book club which began in order to encourage the practice, aiming to "make the whole world a library."

Predictive Model for Prosper.com

Application Area: 

Project Details

Term: 

2010

Students: 

Natasha Sood, Nikhil Goenka, Salil Das, Sourabh Kukreja, Vikas Shah

University: 

ISB

Presentation: 

Report: 

Prosper is the world's largest peer-to-peer lending marketplace, with more than 1,020,000 members and over $213 million in funded loans. Borrowers’ list loan requests between $2,000 and $25,000 and individual lenders invest as little as $25 in each loan listing they select. It rates all the borrowers’ and using those ratings lenders decide if and how much they want to invest.

Explaining conversion rate factors in eBay auctions

Application Area: 

Project Details

Term: 

2008

Students: 

A. Zachary Girod, Christen Hartnett, Brad Kolarov, Inbal Yahav

University: 

UMD

Presentation: 

Report: 

The goal of this project was to build a model for determining factors affecting the transaction of an eBay auction for golf balls. The model is aimed at helping sellers on eBay of how to increase their conversion rate (percentage of transacted auctions)

Determining drivers of customer loyalty for eCommerce air travel booking

Application Area: 

Project Details

Term: 

2006

Students: 

Andrew Lipscomb, Eric May, Gregory Dell’Orto, Meagan Boyce, Michael Melcer

University: 

UMD

Presentation: 

Vliegtarieven.nl is an online booking agency for air tickets. The project goal is to determine the factors affecting online customers' intention of returning to Vliegtarieven.nl to purchase airline tickets, based on a large survey of their customers (we thank Prof Otto Koppius from RSM Erasmus for sharing the data and problem)

Pages

Subscribe to Internet