Bayesian Personalized Ranking

Version 1.0.0 (702 KB) by Vigelos Cromwell
The implementation of Bayesian Personalized Ranking(BPR) in Matlab.
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Updated 29 Jul 2021

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This is an implementation of Bayesian Personalized Ranking(BPR) in Matlab.
BPR.xlm: The main function to use this BPR function, simply run this to get the result.
Vtrain.m: Use this function to train the model.
AUC.m: Use this function to calculate the AUC value.
ratings.csv: The data, comes from MovieLens-small, you can use data of the same format or modify the data reading part in BPR.xml to run this model on other data formats.

Cite As

Vigelos Cromwell (2024). Bayesian Personalized Ranking (https://www.mathworks.com/matlabcentral/fileexchange/96712-bayesian-personalized-ranking), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2020b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0.0