I am working on a recommendation engine for the first time in python. I am using the movielens dataset. https://grouplens.org/datasets/movielens/
I am stalled here so would love some suggestions from experts around here.
Right now I have been able to get a data frame of user ID as rows and movieIDs as columns. The data in the matrix is rating for that movie by that user on a five point scale.
I was trying to use Multiple dimensional scaling but I am not sure how to go about it? Is this the best way? Should I use something else?
What should be the next steps?
My end goal is to come up with 10 movie recommendations for each user from the dataset. Thank you.