Movie Recommendation Engine - movielens



Hi All,

I am working on a recommendation engine for the first time in python. I am using the movielens dataset.

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.



You can follow this article



You could try matrix factorization for making rating predictions. Here is a link that can help you: