Self-paced learning enhanced neural matrix factorization for noise-aware recommendation

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Probabilistic matrix factorization with personalized differential privacy

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Gated and attentive neural collaborative filtering for user generated list recommendation

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A learning framework for temporal recommendation without explicit iterative optimization

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Matrix factorization for recommendation with explicit and implicit feedback

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Sparse latent model with dual graph regularization for collaborative filtering

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Curriculum learning of visual attribute clusters for multi-task classification

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A scalable and robust trust-based nonnegative matrix factorization recommender using the alternating direction method

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Attribute mapping and autoencoder neural network based matrix factorization initialization for recommendation systems

(2018) Jianli Zhao et al.   KNOWLEDGE-BASED SYSTEMS

A Cross-Domain Recommender System With Kernel-Induced Knowledge Transfer for Overlapping Entities

(2018) Qian Zhang et al.   IEEE Transactions on Neural Networks and Learning Systems

Item-network-based collaborative filtering: A personalized recommendation method based on a user's item network

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A theoretical understanding of self-paced learning

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Improved self-paced learning framework for nonnegative matrix factorization

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Social network regularized Sparse Linear Model for Top-N recommendation

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Concept-based item representations for a cross-lingual content-based recommendation process

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Matrix Factorization Techniques for Recommender Systems

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