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Trip Reinforcement Recommendation with Graph-based Representation Learning

https://doi.org/10.1145/3564609
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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/s10115-017-1056-yopenalex-snapshot
Personalized trip recommendation for tourists based on user interests, points of interest visit durations and visit recency
inferredcites →https://doi.org/10.1007/s10115-021-01567-3openalex-snapshot
Attentive multi-task learning for group itinerary recommendation
inferredcites →https://doi.org/10.1016/j.elerap.2020.100943openalex-snapshot
MULTITOUR: A multiple itinerary tourists recommendation engine
inferredcites →https://doi.org/10.1016/j.eswa.2019.113070openalex-snapshot
Personalized itinerary recommendation: Deep and collaborative learning with textual information
inferredcites →https://doi.org/10.1016/j.ipm.2019.102078openalex-snapshot
An extensive study on the evolution of context-aware personalized travel recommender systems
inferredcites →https://doi.org/10.1016/j.knosys.2020.106426openalex-snapshot
Neural graph personalized ranking for Top-N Recommendation
inferredcites →https://doi.org/10.1016/j.tourman.2017.03.005openalex-snapshot
Personalized multi-period tour recommendations
inferredcites →https://doi.org/10.1109/icde.2019.00034openalex-snapshot
A Joint Context-Aware Embedding for Trip Recommendations
inferredcites →https://doi.org/10.1109/icde48307.2020.00019openalex-snapshot
Price-aware Recommendation with Graph Convolutional Networks
inferredcites →https://doi.org/10.1109/icdm.2016.0079openalex-snapshot
Group Preference Aggregation: A Nash Equilibrium Approach
inferredcites →https://doi.org/10.1109/icdm.2019.00122openalex-snapshot
DRCGR: Deep Reinforcement Learning Framework Incorporating CNN and GAN-Based for Interactive Recommendation
inferredcites →https://doi.org/10.1109/tcyb.2021.3088519openalex-snapshot
Multiview Learning With Robust Double-Sided Twin SVM
inferredcites →https://doi.org/10.1109/tevc.2021.3091615openalex-snapshot
CoEA: A Cooperative–Competitive Evolutionary Algorithm for Bidirectional Recommendations
inferredcites →https://doi.org/10.1109/tgrs.2020.3042507openalex-snapshot
Recurrent Thrifty Attention Network for Remote Sensing Scene Recognition
inferredcites →https://doi.org/10.1109/tkde.2018.2881260openalex-snapshot
MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation
inferredcites →https://doi.org/10.1109/tkde.2019.2943854openalex-snapshot
Photo2Trip: Exploiting Visual Contents in Geo-Tagged Photos for Personalized Tour Recommendation
inferredcites →https://doi.org/10.1109/tnnls.2021.3058102openalex-snapshot
Adversarial Human Trajectory Learning for Trip Recommendation
inferredcites →https://doi.org/10.1109/tpami.2007.1078openalex-snapshot
A Normalized Levenshtein Distance Metric
inferredcites →https://doi.org/10.1145/2346496.2346506openalex-snapshot
Exploiting large-scale check-in data to recommend time-sensitive routes
inferredcites →https://doi.org/10.1145/2766459openalex-snapshot
On Learning Prediction Models for Tourists Paths
inferredcites →https://doi.org/10.1145/3077136.3080778openalex-snapshot
Personalized Itinerary Recommendation with Queuing Time Awareness
inferredcites →https://doi.org/10.1145/3178876.3185994openalex-snapshot
DRN
inferredcites →https://doi.org/10.1145/3184558.3191558openalex-snapshot
Travel Itinerary Recommendations with Must-see Points-of-Interest
inferredcites →https://doi.org/10.1145/3219819.3219886openalex-snapshot
Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning
inferredcites →https://doi.org/10.1145/3292500.3330673openalex-snapshot
Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation
inferredcites →https://doi.org/10.1145/3320482openalex-snapshot
Leveraging Kernel-Incorporated Matrix Factorization for App Recommendation
inferredcites →https://doi.org/10.1145/3331184.3331267openalex-snapshot
Neural Graph Collaborative Filtering
inferredcites →https://doi.org/10.1145/3366423.3380202openalex-snapshot
A Category-Aware Deep Model for Successive POI Recommendation on Sparse Check-in Data
inferredcites →https://doi.org/10.1145/3372118openalex-snapshot
Travel Recommendation via Fusing Multi-Auxiliary Information into Matrix Factorization
inferredcites →https://doi.org/10.1145/3372278.3390727openalex-snapshot
Itinerary Planning via Deep Reinforcement Learning
inferredcites →https://doi.org/10.1145/3378890openalex-snapshot
Semi-supervised Trajectory Understanding with POI Attention for End-to-End Trip Recommendation
inferredcites →https://doi.org/10.1145/3397271.3401134openalex-snapshot
KERL
inferredcites →https://doi.org/10.1145/3442381.3449998openalex-snapshot
STAN: Spatio-Temporal Attention Network for Next Location Recommendation
inferredcites →https://doi.org/10.1145/3488560.3498471openalex-snapshot
Choosing the Best of Both Worlds
inferredcites →https://doi.org/10.1145/3488560.3498483openalex-snapshot
Outside In
inferredcites →https://doi.org/10.1145/3488560.3498515openalex-snapshot
Reinforcement Learning over Sentiment-Augmented Knowledge Graphs towards Accurate and Explainable Recommendation
inferredcites →https://doi.org/10.1145/3497748openalex-snapshot
MBN: Towards Multi-Behavior Sequence Modeling for Next Basket Recommendation
inferredcites →https://doi.org/10.1609/aaai.v33i01.3301346openalex-snapshot
Session-Based Recommendation with Graph Neural Networks
inferredcites →https://doi.org/10.1609/aaai.v34i01.5407openalex-snapshot
Enhancing Personalized Trip Recommendation with Attractive Routes
inferredcites →https://doi.org/10.1609/aaai.v34i04.6073openalex-snapshot
Reinforcement Learning Based Meta-Path Discovery in Large-Scale Heterogeneous Information Networks
inferredcites →https://doi.org/10.1609/aaai.v34i04.6094openalex-snapshot
Multi-Component Graph Convolutional Collaborative Filtering
inferredcites →https://doi.org/10.1609/aaai.v35i5.16580openalex-snapshot
Hierarchical Reinforcement Learning for Integrated Recommendation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1016/j.comnet.2025.111118openalex-snapshot
+Tour: Recommending personalized itineraries for smart tourism
inferred← citeshttps://doi.org/10.1016/j.dss.2024.114238openalex-snapshot
Shopping trip recommendations: A novel deep learning-enhanced global planning approach
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.111750openalex-snapshot
Key node propagation-based overlapping spammer group detection algorithm on e-commerce platforms
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.120145openalex-snapshot
Multi-objective reinforcement learning approach for trip recommendation
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.126246openalex-snapshot
Self-supervised contrastive learning for itinerary recommendation
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.126832openalex-snapshot
GraphDRL: GNN-based deep reinforcement learning for interactive recommendation with sparse data
inferred← citeshttps://doi.org/10.1016/j.iswa.2023.200263openalex-snapshot
The effect of intelligent tour guide system based on attraction positioning and recommendation to improve the experience of tourists visiting scenic spots
inferred← citeshttps://doi.org/10.1016/j.knosys.2023.110523openalex-snapshot
Towards the spatial analysis of motorway safety in the connected environment by using explainable deep learning
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113639openalex-snapshot
Enhancing personalized trip recommendations with attractive route analysis and graph attention auto-encoder
inferred← citeshttps://doi.org/10.1016/j.neucom.2023.126707openalex-snapshot
GAA-PPO: A novel graph adversarial attack method by incorporating proximal policy optimization
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.130063openalex-snapshot
Fraud detection in multi-relation graph: Contrastive Learning on Feature and Structural Levels
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.130238openalex-snapshot
Multi-feature Adaptive-fusion Enhanced graph neural Network for open-set node classification
inferred← citeshttps://doi.org/10.1109/ic363308.2025.10957442openalex-snapshot
Enhancing Tailored Travel by Integrating Generative AI with Insights Driven by Personality
inferred← citeshttps://doi.org/10.1109/icaisc64594.2025.10959430openalex-snapshot
Deep Reinforcement Learning for Travel Sequence Recommendations: A Dubai Case Study
inferred← citeshttps://doi.org/10.1109/seaa64295.2024.00057openalex-snapshot
On the Need for Configurable Travel Recommender Systems: A Systematic Mapping Study
inferred← citeshttps://doi.org/10.1109/tcbb.2023.3314432openalex-snapshot
A Unified Multi-Class Feature Selection Framework for Microarray Data
inferred← citeshttps://doi.org/10.1109/tce.2024.3470978openalex-snapshot
Leveraging Deep Reinforcement Learning and Healthcare Devices for Active Travelling in Smart Cities
inferred← citeshttps://doi.org/10.1109/tcss.2024.3389773openalex-snapshot
Collaborative Route Planning of Road Trips in Regional Central Cities of China: An Approach Based on E-CARGO Model
inferred← citeshttps://doi.org/10.1109/tcss.2026.3659699openalex-snapshot
GDB-TR: Graph-Based Double-Layer Bidirectional Model for Query-Based Trip Recommendation
inferred← citeshttps://doi.org/10.1109/tkde.2025.3538110openalex-snapshot
Multi-View Riemannian Manifolds Fusion Enhancement for Knowledge Graph Completion
inferred← citeshttps://doi.org/10.1109/tnet.2023.3253302openalex-snapshot
Scheduling In-Band Network Telemetry With Convergence-Preserving Federated Learning
inferred← citeshttps://doi.org/10.1109/tsc.2024.3376231openalex-snapshot
Encoder-Decoder Based Route Generation Model for Flexible Travel Recommendation
inferred← citeshttps://doi.org/10.1109/wi-iat62293.2024.00012openalex-snapshot
Estimation of POI Characteristics Based on Visitor Mobility Behavior
inferred← citeshttps://doi.org/10.1145/3705328.3748151openalex-snapshot
Context Trails: A Dataset to Study Contextual and Route Recommendation
inferred← citeshttps://doi.org/10.1145/3839237openalex-snapshot
DIRECT: Deep Reinforcement Learning for Tourist Route Generation
inferred← citeshttps://doi.org/10.3389/fphy.2024.1491365openalex-snapshot
SABTR: semantic analysis-based tourism recommendation
inferred← citeshttps://doi.org/10.3389/frai.2024.1346684openalex-snapshot
Personalized bundle recommendation using preference elicitation and the Choquet integral
inferred← citeshttps://doi.org/10.3389/frsc.2024.1331642openalex-snapshot
Recency-based spatio-temporal similarity exploration for POI recommendation in location-based social networks
inferred← citeshttps://doi.org/10.3390/a16080362openalex-snapshot
Deep-Reinforcement-Learning-Based Planner for City Tours for Cruise Passengers
inferred← citeshttps://doi.org/10.3390/app14125195openalex-snapshot
Personalized Tour Itinerary Recommendation Algorithm Based on Tourist Comprehensive Satisfaction
inferred← citeshttps://doi.org/10.3390/app14209271openalex-snapshot
A Tour Recommendation System Considering Implicit and Dynamic Information
inferred← citeshttps://doi.org/10.3390/electronics13234751openalex-snapshot
Transforming Personalized Travel Recommendations: Integrating Generative AI with Personality Models
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