A heterogeneous graph neural network model for list recommendation
List recommendation, an approach for recommending a set of items closely related to user
preferences, plays a significant role in improving the user experience and has received …
preferences, plays a significant role in improving the user experience and has received …
Enhancing Item-level Bundle Representation for Bundle Recommendation
Bundle recommendation approaches offer users a set of related items on a particular topic.
The current state-of-the-art (SOTA) method utilizes contrastive learning to learn …
The current state-of-the-art (SOTA) method utilizes contrastive learning to learn …
A Task-based Personalized Privacy-Preserving Participant Selection Mechanism for Mobile Crowdsensing
Participant selection is one of the most crucial problems in mobile crowdsensing, which
relies on the feature similarity between tasks and mobile users to select participants …
relies on the feature similarity between tasks and mobile users to select participants …
Graph Neural Networks based Recommendation Methods in Different Scenarios: A Survey
H Jiang, X Xing, S Li, J Chen… - 2022 8th Annual …, 2022 - ieeexplore.ieee.org
Recommendation system is one of the most important service applications in the world, and
graph neural network is currently the most popular research direction in the field of …
graph neural network is currently the most popular research direction in the field of …