Tag: recommender systems

A new deep learning model called TimePop shows that the exact time a short video is posted carries a powerful ...

Researchers have introduced RPGCN, a relation-preserving graph convolutional network that combats oversmoothing and relational dilution to outperform state-of-the-art baselines across ...

A new hybrid recommender called Meta KG-NCF combines a frozen knowledge graph prior, neural collaborative filtering, and first-order meta-learning to ...

Researchers at the Vellore Institute of Technology have built NEXUS-Rec, a five-signal neural recommender that outperforms strong baselines on MovieLens ...

Researchers in China have developed a graph neural network algorithm that models item, category and author signals from short-term viewing ...

A University of Cagliari study comparing recommendation algorithms across four educational datasets finds that the most accurate course recommenders are ...

Researchers have built a hybrid recommender system that combines a deep denoising graph convolutional autoencoder, demographic side information, and learning ...

Researchers have developed SAGMR, a graph-learning recommender that explicitly models artistic style to improve digital media art suggestions, with the ...

Researchers have developed a frequency-domain AI network that detects periodic patterns in human check-in data to predict a user's next ...

A comprehensive review in Artificial Intelligence Review argues that reinforcement learning can overcome the static limitations of traditional recommender systems, ...