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A comprehensive survey on deep graph representation learning
Graph representation learning aims to effectively encode high-dimensional sparse graph-
structured data into low-dimensional dense vectors, which is a fundamental task that has …
structured data into low-dimensional dense vectors, which is a fundamental task that has …
Deep learning for trajectory data management and mining: A survey and beyond
Trajectory computing is a pivotal domain encompassing trajectory data management and
mining, garnering widespread attention due to its crucial role in various practical …
mining, garnering widespread attention due to its crucial role in various practical …
[HTML][HTML] Improving the spatial–temporal aware attention network with dynamic trajectory graph learning for next Point-Of-Interest recommendation
Abstract Next Point-Of-Interest (POI) recommendation aim to predict users' next visits by
mining their movement patterns. Existing works attempt to extract spatial–temporal …
mining their movement patterns. Existing works attempt to extract spatial–temporal …
Deep learning-based recommendation system: systematic review and classification
In recent years, recommendation systems have become essential for businesses to enhance
customer satisfaction and generate revenue in various domains, such as e-commerce and …
customer satisfaction and generate revenue in various domains, such as e-commerce and …
Higher-order embedded learning for heterogeneous information networks and adaptive POI recommendation
Y Xun, Y Wang, J Zhang, H Yang, J Cai - Information Processing & …, 2024 - Elsevier
Traditional POI recommendation results tend to be homogeneous due to data sparsity, and
cannot adapt to the dynamic switching of user locations. Regarding the issues, we propose …
cannot adapt to the dynamic switching of user locations. Regarding the issues, we propose …
Adaptive clustering based personalized federated learning framework for next poi recommendation with location noise
Next point-of-interest (POI) recommendation has been a hot research topic, which enables
new paradigms for kinds of location-based services in real-world scenarios. Due to the …
new paradigms for kinds of location-based services in real-world scenarios. Due to the …