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Probabilistic Matrix Factorization (extensions of models)

Date post:	23-Jan-2017
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Part 1: Models and Representations Session 1: - Probabilistic Matrix Factorization - Poisson Models (CF and Content-based) Session 2: - Adding trust/side information - Bayesian extensions - Poisson Models (trust/social) - LGM (intro) Session 3: - State-space models - Tensor-Factorization - Time-dependent Approximate and Scalable Inference for Complex Probabilistic Models in Recommender Systems

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Page 1: Probabilistic Matrix Factorization (extensions of models)

Part 1: Models and Representations

Session 1:- Probabilistic Matrix Factorization- Poisson Models (CF and Content-based)

Session 2:- Adding trust/side information- Bayesian extensions- Poisson Models (trust/social)- LGM (intro)

Session 3:- State-space models- Tensor-Factorization- Time-dependent

Approximate and Scalable Inference for Complex Probabilistic Models in Recommender Systems

Page 2: Probabilistic Matrix Factorization (extensions of models)

Constrained PMF

Page 3: Probabilistic Matrix Factorization (extensions of models)

Constrained PMF

Page 4: Probabilistic Matrix Factorization (extensions of models)

SocialMF

Page 5: Probabilistic Matrix Factorization (extensions of models)

SocialMF

Page 6: Probabilistic Matrix Factorization (extensions of models)

SocialMF● Inference

Page 7: Probabilistic Matrix Factorization (extensions of models)

Bayesian PMF- Adding (conjugate) priors to the parameters

Page 8: Probabilistic Matrix Factorization (extensions of models)

Bayesian PMF

Page 9: Probabilistic Matrix Factorization (extensions of models)

Models with Residuals

Page 10: Probabilistic Matrix Factorization (extensions of models)

Models with Residuals

Page 11: Probabilistic Matrix Factorization (extensions of models)

Bayesian CPMF

Page 12: Probabilistic Matrix Factorization (extensions of models)

Kernelized PMF

Page 13: Probabilistic Matrix Factorization (extensions of models)

Kernelized PMF

Page 14: Probabilistic Matrix Factorization (extensions of models)

Kernelized PMF

Page 15: Probabilistic Matrix Factorization (extensions of models)

Social Poisson Factorization

Page 16: Probabilistic Matrix Factorization (extensions of models)

Latent Gaussian Models

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