Recommender Systems with Machine Learning - Create Collaborative Filter

The video tutorial guides viewers through creating a movie user matrix using a pivot function, converting movies to IDs, and utilizing a CSR matrix for sparse data representation. It concludes with checking the matrix and preparing for KNN application.

What function is used to create the movie-user matrix?

• concat

• groupby

• pivot

• merge

What is the purpose of filling NA values with zero in the movie-user matrix?

• To remove all missing data

• To ensure matrix completeness

• To highlight missing values

• To increase data variability

Which function is used to convert movies to IDs?

• enumerate

• map

• reduce

• filter

What is the purpose of creating a copy of the movie-user matrix?

• To increase processing speed

• To reduce memory usage

• To modify the original matrix

• To preserve the original data

What type of matrix is created using the CSR matrix function?

• Dense matrix

• Sparse matrix

• Diagonal matrix

• Identity matrix