This is the code for a Recommender System. The code uses the lightfm recommender system library to train a hybrid content-based + collaborative algorithm that uses the WARP loss function on the movielens dataset. Once trained, the script prints out recommended movies for whatever users from the dataset that we choose in the terminal.
-
Notifications
You must be signed in to change notification settings - Fork 5
maitray16/Movie-Recommendation-using-LightFM
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
This example uses the lightfm recommender system library to train a hybrid content-based + collaborative algorithm that uses the WARP loss function on the movielens dataset
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published