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Each group hands in 1) their question and a concise context description (1/2-1 page), 2) an outline of the workflow of your project (1/2 page) and 3) a summary of the results.This has to be stored on the GitHub wiki page of your Big Data Challenge repository.

Group 2: Jacob, Sacha, Sofia, Tristan - Big Data Challenge

Question: Can we use user data from Netflix to generate movie recommendations, and can we then use the data to see trends in content consumed with different weather conditions in Squamish?

Description: Streaming services like Netflix, Amazon Prime, Hulu, etc. offer users content recommendations based on previous watches and trending films/shows. Our group has set out to create our own Reccomendation system based on user preferences and browsing history using machine learning and the MovieLens dataset. This dataset consists of 105339 ratings applied over 10329 movies. Our reccomendation system will utilize this dataset and user data to provide recommendations for future content consumption.