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Semi-supervised Learning Meets Factorization: Learning to Recommend with Chain Graph Model
The proposed CGM is a combination of Bayesian network and Markov random field.
Purchase as Reward : Session-based Recommendation by Imagination Reconstruction
Inspired by the prediction error minimization (PEM) and embodied cognition, we propose a simple architecture to augment reward, namely Imagination Reconstruction Network (IRN).
FinBrain: When Finance Meets AI 2.0
Artificial intelligence (AI) is the core technology of technological revolution and industrial transformation.
Neural Collaborative Autoencoder
Second, due to the difficulty on training deep neural networks, existing explicit models do not fully exploit the expressive potential of deep learning.
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