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Personalized Route Recommendation With Neural Network Enhanced Search Algorithm
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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On the vector representation of the reachability in planar directed graphs
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Time depending shortest-path problems with applications to railway networks
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Graph neural networks: A review of methods and applications
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Mastering the game of Go with deep neural networks and tree search
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Fast map matching, an algorithm integrating hidden Markov model with precomputation
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Personalized travel route recommendation using collaborative filtering based on GPS trajectories
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Finding Fastest Paths on A Road Network with Speed Patterns
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Personalized route recommendation using big trajectory data
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Route Discovery from Mining Uncertain Trajectories
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Understanding Urban Dynamics via Context-Aware Tensor Factorization with Neighboring Regularization
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Deep Trajectory Recovery with Fine-Grained Calibration using Kalman Filter
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A Formal Basis for the Heuristic Determination of Minimum Cost Paths
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Compact oracles for reachability and approximate distances in planar digraphs
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Constructing popular routes from uncertain trajectories
inferredcites →https://doi.org/10.1145/2463676.2465287openalex-snapshot
Finding time period-based most frequent path in big trajectory data
inferredcites →https://doi.org/10.1145/2939672.2939843openalex-snapshot
Probabilistic Robust Route Recovery with Spatio-Temporal Dynamics
inferredcites →https://doi.org/10.1145/2983323.2983672openalex-snapshot
Learning Points and Routes to Recommend Trajectories
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Recommending most popular travel path within a region of interest from historical trajectory data
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A Neural Network Approach to Jointly Modeling Social Networks and Mobile Trajectories
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No Longer Sleeping with a Bomb
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Topic-Enhanced Memory Networks for Personalised Point-of-Interest Recommendation
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Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation
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Predicting Human Mobility via Variational Attention
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Learning to Effectively Estimate the Travel Time for Fastest Route Recommendation
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Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts
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CD-CNN: A Partially Supervised Cross-Domain Deep Learning Model for Urban Resident Recognition
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Predicting Solution Cost with Conditional Probabilities
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Topic-Enhanced Memory Networks for Personalised Point-of-Interest Recommendation
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Modeling Trajectories with Recurrent Neural Networks
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Content-Aware Hierarchical Point-of-Interest Embedding Model for Successive POI Recommendation
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Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-Equivalent APIs in Open-Source Repositories
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Neural Machine Translation by Jointly Learning to Align and Translate
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Gated Feedback Recurrent Neural Networks
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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inferred← citeshttps://doi.org/10.1016/j.eswa.2026.132913openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.inffus.2022.11.018openalex-snapshot
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Location-Based Service Insights: A Comprehensive Review of Data Mining Objects
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FedSIG: Privacy-Preserving Federated Recommendation via Synthetic Interaction Generation
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Poster: Multimodal Data Analytics and Machine Learning for Software-Defined Vehicles
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MDLF: A Multi-View-Based Deep Learning Framework for Individual Trip Destination Prediction in Public Transportation Systems
inferred← citeshttps://doi.org/10.1109/tits.2022.3221370openalex-snapshot
THAN: Multimodal Transportation Recommendation With Heterogeneous Graph Attention Networks
inferred← citeshttps://doi.org/10.1109/tits.2025.3628271openalex-snapshot
Spatio-Temporal Data Enhanced Vision-Language Model for Traffic Scene Understanding
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Traffic Flow Prediction Based on Spatiotemporal Potential Energy Fields
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UniTE: A Survey and Unified Pipeline for Pre-Training Spatiotemporal Trajectory Embeddings
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Semantic-Enhanced Representation Learning for Road Networks With Temporal Dynamics
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First Region Last Route Recommendation via Graph Attention Network for Taxis
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An Algorithm for Travel Route Recommendation Integrating Fuzzy Clustering and Attribute-Based Features
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UrbanKG: An Urban Knowledge Graph System
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PathletRL: Trajectory Pathlet Dictionary Construction using Reinforcement Learning
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VLIA: Navigating Shadows with Proximity for Highly Accurate Visited Location Inference Attack against Federated Recommendation Models
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DeepSneak: User GPS Trajectory Reconstruction from Federated Route Recommendation Models
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Motivation-Aware Session Planning over Heterogeneous Social Platforms
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LIGHT: Enhancing Learning Path Recommendation via Knowledge Topology-Aware Sequence Optimization
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AgentCity: An AI-Maintained Continuous Benchmark for Traffic Prediction
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A Privacy‐Preserving and Edge‐Collaborating Architecture for Personalized Mobility
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Intelligent planning method for scenic spot routes based on heuristic search algorithm and multi-dimensional data
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Individual Path Recommendation Under Public Transit Service Disruptions Considering Behavior Uncertainty
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TERI: An Effective Framework for Trajectory Recovery with Irregular Time Intervals
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VecCity : A Taxonomy-Guided Library for Map Entity Representation Learning
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Incorporating Graph Neural Networks into Route Choice Models
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Empirical and Experimental Perspectives on Big Data in Recommendation Systems: A Comprehensive Survey
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A Map-Aware Destination Prediction Model for Location-Based Consumer Electronics
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