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Personalized route recommendation using big trajectory data
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-0-387-45528-0openalex-snapshot
Pattern Recognition and Machine Learning
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Mining Driving Preferences in Multi-cost Networks
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Information Theory and Statistics
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Information theory and statistics
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Guide to fuel consumption analyses for urban traffic management
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Deeper Inside PageRank
inferredcites →https://doi.org/10.1109/icde.2006.71openalex-snapshot
Finding Fastest Paths on A Road Network with Speed Patterns
inferredcites →https://doi.org/10.1109/icde.2010.5447845openalex-snapshot
Route skyline queries: A multi-preference path planning approach
inferredcites →https://doi.org/10.1109/icde.2011.5767890openalex-snapshot
Discovering popular routes from trajectories
inferredcites →https://doi.org/10.1109/icde.2014.6816646openalex-snapshot
Stochastic skyline route planning under time-varying uncertainty
inferredcites →https://doi.org/10.1109/mdm.2013.20openalex-snapshot
Routing Service Quality -- Local Driver Behavior Versus Routing Services
inferredcites →https://doi.org/10.1109/mdm.2013.50openalex-snapshot
EcoTour: Reducing the Environmental Footprint of Vehicles Using Eco-routes
inferredcites →https://doi.org/10.1109/tkde.2013.89openalex-snapshot
Using Incomplete Information for Complete Weight Annotation of Road Networks
inferredcites →https://doi.org/10.1117/1.2819119openalex-snapshot
Book Review: Pattern Recognition and Machine Learning
inferredcites →https://doi.org/10.1145/1653771.1653818openalex-snapshot
Hidden Markov map matching through noise and sparseness
inferredcites →https://doi.org/10.1145/1739041.1739084openalex-snapshot
Probabilistic path queries in road networks
inferredcites →https://doi.org/10.1145/2030112.2030126openalex-snapshot
Urban computing with taxicabs
inferredcites →https://doi.org/10.1145/2463676.2465287openalex-snapshot
Finding time period-based most frequent path in big trajectory data
inferredcites →https://doi.org/10.1287/trsc.11.3.253openalex-snapshot
On Stochastic Models of Traffic Assignment
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Travel cost inference from sparse, spatio temporally correlated time series using Markov models
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Influential Billboard Slot Selection Using Spatial Clustering and Pruned Submodularity Graph
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Trajectory Query Based on Trajectory Segments with Activities
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Cloud-assisted trajectory data management and analysis
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Top-k Route Search through Submodularity Modeling of Recurrent POI Features
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Distinguishing Trajectories from Different Drivers using Incompletely Labeled Trajectories
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Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation
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Effective and Efficient Reuse of Past Travel Behavior for Route Recommendation
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Trajectory-aware Lowest-cost Path Selection
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Inferring ratings for custom trips from rich GPS traces
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Learning Effective Road Network Representation with Hierarchical Graph Neural Networks
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Scalable unsupervised multi-criteria trajectory segmentation and driving preference mining
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A Survey on Trajectory Data Management, Analytics, and Learning
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Trust-based route planning for automated vehicles
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Personalized Long-distance Fuel-efficient Route Recommendation Through Historical Trajectories Mining
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Range Restricted Route Recommendation Based on Spatial Keyword
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Planning for Automated Vehicles with Human Trust
inferred← citeshttps://doi.org/10.1145/3588941openalex-snapshot
ST4ML: Machine Learning Oriented Spatio-Temporal Data Processing at Scale
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ST-ECP: A Novel Spatial-Temporal Framework for Energy Consumption Prediction of Vehicle Trajectory
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Towards a Greener and Fairer Transportation System: A Survey of Route Recommendation Techniques
inferred← citeshttps://doi.org/10.1145/3634737.3657019openalex-snapshot
VLIA: Navigating Shadows with Proximity for Highly Accurate Visited Location Inference Attack against Federated Recommendation Models
inferred← citeshttps://doi.org/10.1145/3652158openalex-snapshot
Mobility Data Science: Perspectives and Challenges
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DeepSneak: User GPS Trajectory Reconstruction from Federated Route Recommendation Models
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MM-Path: Multi-modal, Multi-granularity Path Representation Learning
inferred← citeshttps://doi.org/10.1145/3696410.3714942openalex-snapshot
Motivation-Aware Session Planning over Heterogeneous Social Platforms
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Seed: Bridging Sequence and Diffusion Models for Road Trajectory Generation
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Learning Generalized and Flexible Trajectory Models from Omni-Semantic Supervision
inferred← citeshttps://doi.org/10.1145/3711896.3737183openalex-snapshot
A Context based Personalized Deep Network for Nearby Flight Recommendation
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Fair and Efficient Algorithms for Sequenced Group Trip Planning Query Problem
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Personalized Travel Route Recommendation Based on GPS Trajectories
inferred← citeshttps://doi.org/10.11606/d.55.2017.tde-21092017-140230openalex-snapshot
Mineração de trajetórias em redes sociais geolocalizadas
inferred← citeshttps://doi.org/10.13140/rg.2.2.32302.95048openalex-snapshot
Scalable Unsupervised Multi-Criteria Trajectory Segmentation and Driving Preference Mining
inferred← citeshttps://doi.org/10.14778/3021924.3021926openalex-snapshot
Path cost distribution estimation using trajectory data
inferred← citeshttps://doi.org/10.14778/3551793.3551863openalex-snapshot
Diversified top- k route planning in road network
inferred← citeshttps://doi.org/10.14778/3603581.3603591openalex-snapshot
Effective and Efficient Route Planning Using Historical Trajectories on Road Networks
inferred← citeshttps://doi.org/10.14778/3704965.3704968openalex-snapshot
LARGE: A Length-Aggregation-Based Grid Structure for Line Density Visualization
inferred← citeshttps://doi.org/10.1609/aaai.v33i01.33011036openalex-snapshot
Joint Representation Learning for Multi-Modal Transportation Recommendation
inferred← citeshttps://doi.org/10.1609/aaai.v34i01.5397openalex-snapshot
Pay Your Trip for Traffic Congestion: Dynamic Pricing in Traffic-Aware Road Networks
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Towards reliability in collaborative filtering recommender systems
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Context-aware Route Recommendation with Weight Learning through Deep Neural Networks
inferred← citeshttps://doi.org/10.23919/icn.2020.0005openalex-snapshot
Wireless recommendations for Internet of vehicles: Recent advances, challenges, and opportunities
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Cascaded Trust Network-based Block-Incremental Recommendation Strategy
inferred← citeshttps://doi.org/10.2991/emim-18.2018.29openalex-snapshot
Time-sensitive Travel Route Recommendations
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Towards advanced distributed data processing: framework, optimization, and application
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A Path Recommendation Method Considering Individual Driving Preferences
inferred← citeshttps://doi.org/10.3390/app8030407openalex-snapshot
Path Planning Strategy for Vehicle Navigation Based on User Habits
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A Comparative ESG Framework for the Energy Transition: Evidence from Ørsted and Enel
inferred← citeshttps://doi.org/10.3390/su11123357openalex-snapshot
Optimal Travel Route Recommendation Mechanism Based on Neural Networks and Particle Swarm Optimization for Efficient Tourism Using Tourist Vehicular Data
inferred← citeshttps://doi.org/10.3390/sym18061033openalex-snapshot
Sem-RoadDiff: Road-Aware Diffusion Model with Semantic Guidance for Trajectory Generation
inferred← citeshttps://doi.org/10.4271/2020-01-5239openalex-snapshot
The Analysis of Community Travel Behaviors Based on Big Trajectory Data
inferred← citeshttps://doi.org/10.48550/arxiv.1510.02886openalex-snapshot
Efficient and Accurate Path Cost Estimation Using Trajectory Data
inferred← citeshttps://doi.org/10.48550/arxiv.1802.07980openalex-snapshot
Learning to Route with Sparse Trajectory Sets---Extended Version
inferred← citeshttps://doi.org/10.48550/arxiv.1802.08014openalex-snapshot
Finding Top-k Optimal Sequenced Routes -- Full Version
inferred← citeshttps://doi.org/10.48550/arxiv.1811.05157openalex-snapshot
Recurrent Multi-Graph Neural Networks for Travel Cost Prediction
inferred← citeshttps://doi.org/10.48550/arxiv.1907.04028openalex-snapshot
PathRank: A Multi-Task Learning Framework to Rank Paths in Spatial Networks
inferred← citeshttps://doi.org/10.48550/arxiv.1910.06949openalex-snapshot
How to Eliminate Detour Behaviors in E-hailing? Real-time Detecting and Time-dependent Pricing
inferred← citeshttps://doi.org/10.48550/arxiv.1912.01861openalex-snapshot
Mining Top-k Trajectory-Patterns from Anonymized Data
inferred← citeshttps://doi.org/10.48550/arxiv.2007.07195openalex-snapshot
Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine
inferred← citeshttps://doi.org/10.48550/arxiv.2105.08279openalex-snapshot
Learning to Route via Theory-Guided Residual Network
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R4: A Framework for Route Representation and Route Recommendation
inferred← citeshttps://doi.org/10.5311/josis.2023.26.221openalex-snapshot
Representative dissimilar path queries: accommodating human movement dynamics in road networks
inferred← citeshttps://doi.org/10.54337/aau306584084openalex-snapshot
Managing and Analyzing Big Traffic Data-An Uncertain Time Series Approach
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Towards Data-Efficient Mobility Analytics in Spatial Networks
inferred← citeshttps://doi.org/10.54337/aau510734142openalex-snapshot
Path Representation Learning in Road Networks
inferred← citeshttps://doi.org/10.6339/21-jds1004openalex-snapshot
Large Scale GPS Trajectory Generation Using Map Based on Two Stage GAN
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