A survey of route recommendations: Methods, applications, and opportunities
Nowadays, with advanced information technologies deployed citywide, large data volumes
and powerful computational resources are intelligentizing modern city development. As an …
and powerful computational resources are intelligentizing modern city development. As an …
Towards mobility data science (vision paper)
Mobility data captures the locations of moving objects such as humans, animals, and cars.
With the availability of GPS-equipped mobile devices and other inexpensive location …
With the availability of GPS-equipped mobile devices and other inexpensive location …
Spatial-temporal interval aware individual future trajectory prediction
The past flourishing years of sequential location-based services began with the introduction
of the Self-Attention Network (SAN), which quickly superseded CNN or RNN as the state-of …
of the Self-Attention Network (SAN), which quickly superseded CNN or RNN as the state-of …
Multi-objective reinforcement learning approach for trip recommendation
Trip recommendation is an intelligent service that provides personalized itinerary plans for
tourists in unfamiliar cities. It aims to construct a series of ordered POIs that maximizes user …
tourists in unfamiliar cities. It aims to construct a series of ordered POIs that maximizes user …
Contrastive trajectory learning for tour recommendation
The main objective of Personalized Tour Recommendation (PTR) is to generate a sequence
of point-of-interest (POIs) for a particular tourist, according to the user-specific constraints …
of point-of-interest (POIs) for a particular tourist, according to the user-specific constraints …
Dual-grained human mobility learning for location-aware trip recommendation with spatial–temporal graph knowledge fusion
Trip recommendation is a popular and significant location-aware service that can help
visitors make more accurate travel plans. Its principal purpose is to provide a sequence of …
visitors make more accurate travel plans. Its principal purpose is to provide a sequence of …
Personalized route recommendation for ride-hailing with deep inverse reinforcement learning and real-time traffic conditions
Personalized route recommendation aims to recommend routes based on users' route
preference. The vast amount of GPS trajectories tracking driving behavior has made deep …
preference. The vast amount of GPS trajectories tracking driving behavior has made deep …
Trip reinforcement recommendation with graph-based representation learning
Tourism is an important industry and a popular leisure activity involving billions of tourists
per annum. One challenging problem tourists face is identifying attractive Places-of-Interest …
per annum. One challenging problem tourists face is identifying attractive Places-of-Interest …
Self-supervised representation learning for trip recommendation
Trip recommendation is a significant and engaging location-based service that can help new
tourists make more customized travel plans. It often attempts to suggest a sequence of points …
tourists make more customized travel plans. It often attempts to suggest a sequence of points …
Counterfactual data augmentation with denoising diffusion for graph anomaly detection
A critical aspect of graph neural networks (GNNs) is to enhance the node representations by
aggregating node neighborhood information. However, when detecting anomalies, the …
aggregating node neighborhood information. However, when detecting anomalies, the …