Tag: recommender systems

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, ...

A landmark special issue of the Journal of Intelligent Information Systems argues that recommender systems must be redesigned to actively ...

A systematic review of 135 studies reveals that AI recommender systems succeed in online marketplaces only when algorithmic performance, consumer ...

Researchers have developed a machine learning framework that models long and short-term music preferences, decomposes sparse heterogeneous traffic data, and ...