Find similar products

- [Instructor] In the previous video,…we created these four data files.…If you like to create them now,…run train_recommender_cold_start final.py…before you continue.…Now let's open up product_similarity_from_data_files.py.…When you show related products in the real application,…you don't want to have refactor the matrix each time…because it's too slow.…Instead, you can use the product_features.dat file…to calculate product similarity quickly.…First we'll load the product_features.dat file…using Python's pickle.load function.…

The M matrix that we just loaded…has one column for each movie.…Let's transpose the matrix so each column becomes a row.…This just makes the data easier to work with,…but it doesn't change the data.…Next, we'll load the movie list using read_csv…so we'll have access to the movie titles.…And we'll pick a movie to find similar movies to.…I've chosen movie_id = 5.…Next we'll look up this movie in the movies_df dataframe…and then we'll print out the movie's title and genre.…Now we're ready to calculate movie similarity.…