Social networks

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.

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.

Online Dating

Application Area: 

Project Details

Term: 

2006

Students: 

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

University: 

UMD

Presentation: 

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)

What drives mobile users to become active users of DubMeNow?

Application Area: 

Project Details

Term: 

2009

Students: 

Ji Hee Han, Nicholas Rapagnani, Shahryar Rizvi, Jerry Wang

University: 

UMD

Presentation: 

Report: 

The success of a company like DubMeNow, that deals in digital markets, hinges entirely on the value of their network. Not just in the size of it, but also the quality

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