Difference between revisions of "TheBigScreen"
Jump to navigation
Jump to search
| Line 13: | Line 13: | ||
| style="font-size:120%; text-align:center; background-color:#228B22" width="0.5%"; | | | style="font-size:120%; text-align:center; background-color:#228B22" width="0.5%"; | | ||
| − | | style="font-size:120%; text-align:center;background-color:#F7F7F7; width=12%" | [[TheBigScreen Poster|<font face = "Century Gothic" color="#000000">Poster/font>]] | + | | style="font-size:120%; text-align:center;background-color:#F7F7F7; width=12%" | [[TheBigScreen Poster|<font face = "Century Gothic" color="#000000">Poster</font>]] |
| style="font-size:120%; text-align:center; background-color:#228B22" width="0.5%" | | | style="font-size:120%; text-align:center; background-color:#228B22" width="0.5%" | | ||
Revision as of 14:20, 4 October 2016
| Proposal | Project Presentation | Poster | Application | Research Paper |
Contents
Project Summary
Problem and Motivation
Is it possible to predict how good a movie will be before it even screens? This is a subjective question. While some rely on movie critics and early reviews, others depend on instinct. However, we know reviews can take a long time to gather and human instinct is simply unreliable. Thousands of movies are produced every year and all of them our clamouring for the $11 we spend on movie tickets! Our group wants to know if we can predict which movies are worth you spending your money and time on.
