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A survey on accuracy-oriented neural recommendation: From collaborative filtering to information-rich recommendation
Influenced by the great success of deep learning in computer vision and language
understanding, research in recommendation has shifted to inventing new recommender …
understanding, research in recommendation has shifted to inventing new recommender …
[HTML][HTML] Recommendation systems for education: Systematic review
Recommendation systems have emerged as a response to overload in terms of increased
amounts of information online, which has become a problem for users regarding the time …
amounts of information online, which has become a problem for users regarding the time …
Sequential recommendation via stochastic self-attention
Sequential recommendation models the dynamics of a user's previous behaviors in order to
forecast the next item, and has drawn a lot of attention. Transformer-based approaches …
forecast the next item, and has drawn a lot of attention. Transformer-based approaches …
Reinforced neighborhood selection guided multi-relational graph neural networks
Graph Neural Networks (GNNs) have been widely used for the representation learning of
various structured graph data, typically through message passing among nodes by …
various structured graph data, typically through message passing among nodes by …
Adapting large language models for education: Foundational capabilities, potentials, and challenges
Q Li, L Fu, W Zhang, X Chen, J Yu, W ** aggregation network for course recommendation in MOOCs
Massive open online courses (MOOCs) are dedicated to providing learners with large-scale
and open-access boutique courses. Recently, the course recommendation algorithm in …
and open-access boutique courses. Recently, the course recommendation algorithm in …
[HTML][HTML] A survey on heterogeneous information network based recommender systems: Concepts, methods, applications and resources
As an important way to alleviate information overload, a recommender system aims to filter
out irrelevant information for users and provides them items that they may be interested in. In …
out irrelevant information for users and provides them items that they may be interested in. In …