Skip to content

Releases: shah314/BPR

Bayesian Personalized Ranking in Python

16 Dec 09:42
@shah314 shah314
1.3
241f71d
Compare
Choose a tag to compare
Bayesian Personalized Ranking in Python Latest
Latest

Bayesian Personalized Ranking (BPR) is a recommender systems algorithm that can be used to personalize the experience of a user on a movie rental service, an online book store, a retail store and so on. This implementation uses the MovieLens data set but the implementation can be used for any recommender system application (added Gaussian prior, fixed an issue).

Assets 2
Loading

Bayesian Personalized Ranking in Python

10 Dec 06:03
@shah314 shah314
1.2
e6aa8df
This commit was created on GitHub.com and signed with GitHub’s verified signature. The key has expired.
GPG key ID: 4AEE18F83AFDEB23
Expired
Learn about vigilant mode.
Compare
Choose a tag to compare
Bayesian Personalized Ranking in Python

Bayesian Personalized Ranking (BPR) is a recommender systems algorithm that can be used to personalize the experience of a user on a movie rental service, an online book store, a retail store and so on. This implementation uses the MovieLens data set but the implementation can be used for any recommender system application.

Assets 2
Loading