Internet
Predicting Indian Movie Ratings on IMDB
Submitted by gshmueli on Mon, 02/06/2012 - 04:26The 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
Submitted by shmueli on Thu, 09/22/2011 - 15:40Prosper.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
Submitted by gshmueli on Thu, 09/22/2011 - 13:18BookCrossing 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
Submitted by gshmueli on Thu, 09/22/2011 - 13:04Prosper 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
Submitted by gshmueli on Thu, 09/22/2011 - 11:39The 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)
