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UIPC-MF: User-Item Prototype Connection Matrix Factorization for Explainable Collaborative Filtering
Recommending items to potentially interested users has been an important commercial task that faces two main challenges: accuracy and explainability.
Polyphonic Music Composition: An Adversarial Inverse Reinforcement Learning Approach
We then combine the learned reward function with a reward based on music theory rules to improve the generation of the model trained by supervised learning.
Humor Recognition Using Deep Learning
Humor is an essential but most fascinating element in personal communication.
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