What are your top ten favorite movies of all time? This is a very difficult question. But why?
In Uncubed NYC 2014, Irmak gave a talk explaining the challenges of measuring how much we like movies, books, songs, or products; combining insights from diverse sources like the Netflix Prize, Duncan Watts' social experiments, or the beginnings of Facebook. The better we get at measuring and ranking levels of enjoyment, the better we can customize websites, sort search results, find other people with similar tastes, and recommend products, so can we overcome these challenges? Drumroll... Yes, we can, with Bayesian ranking algorithms.
Movie versus Movie web app (htttp://movievsmovie.datasco.pe) is a proof of concept for the ideas explained in the talk. It is also an example of a passion project, akin to the process that students of Metis Data Science Bootcamp need to go through five times throughout the course. Using the example of Movie vs Movie, Irmak shows how a data science project takes shape and what the process involves.