Entertainment

Predicting readability of The News Lens' next online articles to enhance reader loyalty

Application Area: 

Project Details

Term: 

Fall 2017

Students: 

Uniss Tseng, Elisa Wang, Patrizia Mach, Sabrina Wei

University: 

NTHU

Presentation: 

Report: 

In order to establish a dedicated reader base, online news website The News Lens aims to drive traffic directly to their website rather than via third-party social media, such as Facebook. Establishing this goal involves selecting a list of featured articles to display on the homepage, which are most likely to be read completely and aid in establishing a reader habit to primarily use The News Lens for its insights to current events.

Predicting upcoming movies’ box office revenue in Taiwan for theater management

Application Area: 

Project Details

Term: 

Fall 2015

Students: 

Sam Wang, Sean Xie, Jenny Wang, Jessica Deng

University: 

NTHU

Presentation: 

Report: 

Our primary stakeholder is theater managers, an important role in theater who have to arrange released weeks and halls for each new movie. Therefore they have a potential need of knowing how new movies will perform on box office revenues. However, there’s a gap among the box office revenues in Taipei and in US and other movie features, and cause the prediction difficult. Hence, our business goal of this project is to allow managers knowing how new movies will perform on box office revenues in Taipei in advanced.

Predict box office revenue in China to maximize profits

Application Area: 

Project Details

Term: 

Fall 2015

Students: 

Lee Tung-Yu, Chen Yi-Huan, Chen Yu-Fang, Jevon Mckenzie, Dimitri Cayard

University: 

NTHU

Presentation: 

Report: 

Business Problem:
This research is in an effort to increase the profits of movie theaters in China. It is with no doubt that
the movies which a theater decide to show differ in the revenue that they contribute. With that in mind,
this research aims to identify movies that are more likely to generate higher revenue because:
1. If the demand for a particular movie is too low in comparison to the supplied amount of
shows and venues, the movie theater will incur a loss.

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.

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."

Predicting Opening Week Box Office Performance of Hollywood Movies

Application Area: 

Project Details

Term: 

2010

Students: 

Deepshikha Yadav, Vibha Naryan, Udayan Dasgupta, Santosh P N, Shanawaz Janmohamed

University: 

ISB

Presentation: 

Report: 

The movie industry is a highly dynamic industry. The uncertainty involved due to the involvement of various factors in determining the box office success makes it even more ambiguous.

Understanding the factors creating a box office hit

Application Area: 

Project Details

Term: 

2007

Students: 

Andreana Able, Sakol Chompoonich, Chu-Tzu Ko, Kumiko Kotera, Thomas Lotze

University: 

UMD

Presentation: 

Report: 

Producing films is one of the riskiest of businesses. A ‘mega-project’ movie (e.g. Superman Returns) can cost up to $270 million and take years to produce. To justify this investment, the mega-project movie has to make its way to the top 5 of the box office for the year, and generate approximately $300 - $400 million total gross revenue.

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