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9 search results found

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

Python implementation of 'Scalable Recommendation with Hierarchical Poisson Factorization'.

A Pytorch Recommendation Framework with Implicit Feedback.

Pytorchcml ⭐ 14

PyTorchCML is a library of PyTorch implementations of matrix factorization (MF) and collaborative metric learning (CML), algorithms used in recommendation systems and data mining.

GitHub Mirror of RecPack: Experimentation Toolkit for Top-N Recommendation (see https://gitlab.com/recpack-maintainers/recpack)

Unbiased Implicit Rec Real ⭐ 10

(WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"

Unbiased Pairwise Rec ⭐ 10

(ICTIR2020) "Unbiased Pairwise Learning from Biased Implicit Feedback"

Unbiased Implicit Rec ⭐ 10

(WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"

Need_a_date ⭐ 7

A recommender engine built for a Bay Area online dating website to maximize the successful matches by introducing hybrid recommender system and reverse match technique.

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