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This repository provides a Matlab implementation of IBPR (CIKM 2017), a recommendation algorithm with dual objectives: (1) accurately identifying most preferred items and (2) efficiently generating the recommendations in real time

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Andrew-DungLe/indexable-bayesian-personalized-ranking

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Indexable Bayesian Personalized Ranking for Efficient Top-K Recommendation

This repository provides a Matlab implementation of IBPR, an indexable representation learning for efficient and accurate personalized recommendation retrieval.

More details are described in the following paper: Indexable Bayesian Personalized Ranking for Efficient Top-k Recommendation, by Dung D. Le and Hady W. Lauw, ACM Conference on Information and Knowledge Management (CIKM'17), Nov 2017.

If you need any additional information, please contact: ddle.2015@smu.edu.sg.

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This repository provides a Matlab implementation of IBPR (CIKM 2017), a recommendation algorithm with dual objectives: (1) accurately identifying most preferred items and (2) efficiently generating the recommendations in real time

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