Class | Description |
---|---|
AspectModelRecommender |
Latent class models for collaborative filtering
|
ASVDPlusPlusRecommender |
Yehuda Koren, Factorization Meets the Neighborhood: a Multifaceted
Collaborative Filtering Model., KDD 2008.
|
BiasedMFRecommender |
Biased Matrix Factorization Recommender
|
BPMFRecommender |
Salakhutdinov and Mnih, Bayesian Probabilistic Matrix Factorization using Markov Chain Monte Carlo,
ICML 2008.
|
BPoissMFRecommender |
Prem Gopalan, et al.
|
FMALSRecommender |
Factorization Machine Recommender via Alternating Least Square
|
FMSGDRecommender |
Stochastic Gradient Descent with Square Loss
Rendle, Steffen, "Factorization Machines", Proceedings of the 10th IEEE International Conference on Data Mining, 2010
Rendle, Steffen, "Factorization Machines with libFM", ACM Transactions on Intelligent Systems and Technology, 2012
|
GPLSARecommender |
Thomas Hofmann, Collaborative Filtering via Gaussian Probabilistic Latent Semantic Analysis, SIGIR
2003.
|
LDCCRecommender | |
LLORMARecommender |
Local Low-Rank Matrix Approximation
|
LLORMAUpdater |
Local Low-Rank Matrix Approximation
|
MFALSRecommender |
The class implementing the Alternating Least Squares algorithm
|
NMFRecommender |
Daniel D.
|
PMFRecommender |
PMF: Ruslan Salakhutdinov and Andriy Mnih, Probabilistic Matrix Factorization, NIPS 2008.
RegSVD: Arkadiusz Paterek, Improving Regularized Singular Value Decomposition
Collaborative Filtering, Proceedings of KDD Cup and Workshop, 2007.
|
RBMRecommender |
This class implementing user-oriented Restricted Boltzmann Machines for
Collaborative Filtering
|
RFRecRecommender |
Gedikli et al., RF-Rec: Fast and Accurate Computation of
Recommendations based on Rating Frequencies, IEEE (CEC) 2011,
Luxembourg, 2011, pp.
|
SVDPlusPlusRecommender |
SVD++ Recommender
|
URPRecommender |
User Rating Profile: a LDA model for rating prediction.
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