On the public citation graph
Keywords-enhanced Deep Reinforcement Learning Model for Travel Recommendation
0 signed · 60 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.elerap.2020.100978openalex-snapshot
A hybrid context-aware approach for e-tourism package recommendation based on asymmetric similarity measurement and sequential pattern mining
inferredcites →https://doi.org/10.1016/j.eswa.2021.116234openalex-snapshot
Multi-view Graph Attention Network for Travel Recommendation
inferredcites →https://doi.org/10.1016/j.im.2016.04.003openalex-snapshot
SocoTraveler : Travel-package recommendations leveraging social influence of different relationship types
inferredcites →https://doi.org/10.1016/j.ipm.2019.102099openalex-snapshot
Dynamic attention-based explainable recommendation with textual and visual fusion
inferredcites →https://doi.org/10.1109/tcyb.2020.3000733openalex-snapshot
A Learning-Based POI Recommendation With Spatiotemporal Context Awareness
inferredcites →https://doi.org/10.1109/tcyb.2021.3088519openalex-snapshot
Multiview Learning With Robust Double-Sided Twin SVM
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/tii.2021.3091435openalex-snapshot
Hybrid-Order Gated Graph Neural Network for Session-Based Recommendation
inferredcites →https://doi.org/10.1109/tnnls.2021.3083264openalex-snapshot
Deep Rating and Review Neural Network for Item Recommendation
inferredcites →https://doi.org/10.1109/tse.2021.3074309openalex-snapshot
Holistic Combination of Structural and Textual Code Information for Context Based API Recommendation
inferredcites →https://doi.org/10.1145/2559169openalex-snapshot
Cost-Aware Collaborative Filtering for Travel Tour Recommendations
inferredcites →https://doi.org/10.1145/2783258.2783273openalex-snapshot
Collaborative Deep Learning for Recommender Systems
inferredcites →https://doi.org/10.1145/3184558.3191558openalex-snapshot
Travel Itinerary Recommendations with Must-see Points-of-Interest
inferredcites →https://doi.org/10.1145/3269206.3271761openalex-snapshot
Recurrent Neural Networks with Top-k Gains for Session-based Recommendations
inferredcites →https://doi.org/10.1145/3340531.3411876openalex-snapshot
STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation
inferredcites →https://doi.org/10.1145/3366423.3380164openalex-snapshot
Dual Learning for Explainable Recommendation: Towards Unifying User Preference Prediction and Review Generation
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/10.1145/3366423.3380232openalex-snapshot
Keywords Generation Improves E-Commerce Session-based Recommendation
inferredcites →https://doi.org/10.1145/3372118openalex-snapshot
Travel Recommendation via Fusing Multi-Auxiliary Information into Matrix Factorization
inferredcites →https://doi.org/10.1145/3397271.3401281openalex-snapshot
How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements
inferredcites →https://doi.org/10.1145/3442381.3449803openalex-snapshot
Itinerary-aware Personalized Deep Matching at Fliggy
inferredcites →https://doi.org/10.1145/3442381.3449846openalex-snapshot
Reinforcement Recommendation with User Multi-aspect Preference
inferredcites →https://doi.org/10.1145/3442381.3449934openalex-snapshot
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning
inferredcites →https://doi.org/10.1145/3442381.3449985openalex-snapshot
Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning
inferredcites →https://doi.org/10.1145/3442381.3449998openalex-snapshot
STAN: Spatio-Temporal Attention Network for Next Location Recommendation
inferredcites →https://doi.org/10.1145/3442442.3452329openalex-snapshot
Combining Explicit Entity Graph with Implicit Text Information for News Recommendation
inferredcites →https://doi.org/10.1145/3447548.3467111openalex-snapshot
Deep Inclusion Relation-aware Network for User Response Prediction at Fliggy
inferredcites →https://doi.org/10.1145/3447548.3467132openalex-snapshot
Curriculum Meta-Learning for Next POI Recommendation
inferredcites →https://doi.org/10.1145/3464300openalex-snapshot
CHA: Categorical Hierarchy-based Attention for Next POI Recommendation
inferredcites →https://doi.org/10.1145/3487047openalex-snapshot
TRACE: Travel Reinforcement Recommendation Based on Location-Aware Context Extraction
inferredcites →https://doi.org/10.1145/3488560.3498471openalex-snapshot
Choosing the Best of Both Worlds
inferredcites →https://doi.org/10.1145/371920.372071openalex-snapshot
Item-based collaborative filtering recommendation algorithms
inferredcites →https://doi.org/10.1609/aaai.v33i01.3301346openalex-snapshot
Session-Based Recommendation with Graph Neural Networks
inferredcites →https://doi.org/10.1609/aaai.v33i01.330153openalex-snapshot
Dynamic Explainable Recommendation Based on Neural Attentive Models
inferredcites →https://doi.org/10.1609/aaai.v33i01.33019945openalex-snapshot
Higher-Order Multi-Layer Community Detection
inferredcites →https://doi.org/10.1609/aaai.v34i05.6525openalex-snapshot
Multimodal Summarization with Guidance of Multimodal Reference
inferredcites →https://doi.org/10.1609/aaai.v35i5.16549openalex-snapshot
Noninvasive Self-attention for Side Information Fusion in Sequential Recommendation
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.asoc.2026.115605openalex-snapshot
Keyword-speaker-extraction-generation (KSEG): A two-stage summarizing framework for Chinese online medical dialogue text
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.122907openalex-snapshot
Global heterogeneous graph enhanced category-aware attention network for session-based recommendation
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.128990openalex-snapshot
Exploiting attributes and keywords for session-based recommendation with multi-view graph neural network
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.132200openalex-snapshot
Popularity-driven hybrid graph-attentive networks for contextual academic recommendation
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.iswa.2023.200306openalex-snapshot
Real-time impulse response: a methodology based on Machine Learning approaches for a rapid impulse response generation for real-time Acoustic Virtual Reality systems
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.2023.111276openalex-snapshot
Acoustic-articulatory emotion recognition using multiple features and parameter-optimized cascaded deep learning network
inferred← citeshttps://doi.org/10.1109/asiancon58793.2023.10270744openalex-snapshot
Research and Implementation of Learning Resource Recommendation Method for Online Education
inferred← citeshttps://doi.org/10.1109/telepe64216.2024.00032openalex-snapshot
Behavior Prediction and Management Algorithm of Students in Technical Colleges Based on Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/tnnls.2024.3500096openalex-snapshot
Knowledge-Reinforced Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1145/3664650openalex-snapshot
Advancements in Federated Learning: Models, Methods, and Privacy
inferred← citeshttps://doi.org/10.2478/amns-2024-0840openalex-snapshot
Research on System Development of Spatial Clustering in Tourism Recommendation
inferred← citeshttps://doi.org/10.26599/bdma.2024.9020064openalex-snapshot
IPSA: A Multi-View Perception Model for Information Propagation in Online Social Networks
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/10.4108/eetsis.5782openalex-snapshot
Design Method for Travel E-commerce Platform Based on HHO imparoved K-means Clustering Algorithm
inferred← citeshttps://doi.org/10.7717/peerj-cs.2589openalex-snapshot
A novel group tour trip recommender model for personalized travel systems
inferred← citeshttps://doi.org/10.7717/peerj-cs.2837openalex-snapshot
A novel user-centric happiness model for personalized tour recommendations
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.