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Search results for implicit feedback
implicit-feedback
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16 search results found
Rankfm
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150
Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
Pyreclab
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101
pyRecLab is a library for quickly testing and prototyping of traditional recommender system methods, such as User KNN, Item KNN and FunkSVD Collaborative Filtering. It is developed and maintained by Gabriel Sepúlveda and Vicente Domínguez, advised by Prof. Denis Parra, all of them in Computer Science Department at PUC Chile, IA Lab and SocVis Lab.
Hpfrec
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76
Python implementation of 'Scalable Recommendation with Hierarchical Poisson Factorization'.
Poismf
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43
(Python, R, C) Poisson matrix factorization (non-Bayesian version) (recommender systems)
Imrec
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28
A Pytorch Recommendation Framework with Implicit Feedback.
Facts
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27
Matrix Factorization based recsys in Golang. Because facts are more important than ever
Recometrics
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21
(Python, R, C++) Library-agnostic evaluation framework for implicit-feedback recommender systems
Pytorchcml
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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.
Sgdl
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14
Source code for Self-Guided Learning to Denoise for Robust Recommendation. SIGIR 2022.
Recpack
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13
GitHub Mirror of RecPack: Experimentation Toolkit for Top-N Recommendation (see https://gitlab.com/recpack-maintainers/recpack)
Unbiased Implicit Rec
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10
(WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"
Unbiased Pairwise Rec
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10
(ICTIR2020) "Unbiased Pairwise Learning from Biased Implicit Feedback"
Unbiased Implicit Rec Real
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10
(WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"
Cdn Recsys
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8
A hybrid recommender system for suggesting CDN (content delivery network) providers to various websites
Need_a_date
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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.
Recommender Systems
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5
Repository for the Recommender Systems Challenge 2020/2021 @ PoliMi
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1-16 of 16 search results
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