Reco-Me

How to Run: If python3 is already installed simply run,

python3 movie_recommendation.py

and follow the user prompts :)

The project implements several different ways of calculating simularity and distance:

• Euclidean Distance
• Pearson Similarity
• Cosine Similarity
• Jaccard Distance

We use those methods to calculate a user's "distance" from another user.

Taking the closest users to our user, we predict possible movie ratings for movies we haven't seen using a weighted value of the opposing user's rating.

This allows us to guess what we would rate every movie that we haven't yet seen, then we order this and return a top 5!

Libraries Used:

• Built in Libraries: (math, collections, operator)
• Pandas
• Numpy

How to download Pandas:

• https://pandas.pydata.org/getpandas.html

How to download Numpy:

• https://docs.scipy.org/doc/numpy/user/install.html