Published December 16, 2020 | Version 1.3
Software Open

BPR: Bayesian Personalized Ranking in Python

Authors/Creators

  • 1. Target

Description

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).

Files

shah314/BPR-1.3.zip

Files (862.8 kB)

Name Size Download all
md5:be624d76e4d91f2d1f9b8b429a763ca0
862.8 kB Preview Download

Additional details

Related works