Movie Recommendation Engine - movielens

machine_learning
python

#1

Hi All,

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.


#2

Hi,

You can follow this article


#3

Hi,

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

Regards
Ankit