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A Multi-Task Graph Neural Network with Variational Graph Auto-Encoders for Session-Based Travel Packages Recommendation

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Simple and Effective Graph Autoencoders with One-Hop Linear Models
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A recommendation engine for travel products based on topic sequential patterns
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Online purchase decisions for tourism e-commerce
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Multi-view Graph Attention Network for Travel Recommendation
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SocoTraveler : Travel-package recommendations leveraging social influence of different relationship types
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Smart tourism technologies in travel planning: The role of exploration and exploitation
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Hybrid-triggered-based security controller design for networked control system under multiple cyber attacks
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Neural graph personalized ranking for Top-N Recommendation
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Neural Attentive Travel package Recommendation via exploiting long-term and short-term behaviors
inferredcites →https://doi.org/10.1016/j.knosys.2021.107521openalex-snapshot
A multi-task learning approach for improving travel recommendation with keywords generation
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Hierarchical pattern recognition for tourism demand forecasting
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Variational Inference: A Review for Statisticians
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Amazon.com recommendations: item-to-item collaborative filtering
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Compactness Preserving Community Computation Via a Network Generative Process
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CoEA: A Cooperative–Competitive Evolutionary Algorithm for Bidirectional Recommendations
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Predicting Grain Losses and Waste Rate Along the Entire Chain: A Multitask Multigated Recurrent Unit Autoencoder Based Method
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A Cocktail Approach for Travel Package Recommendation
inferredcites →https://doi.org/10.1109/tkde.2017.2741484openalex-snapshot
Spatial-Aware Hierarchical Collaborative Deep Learning for POI Recommendation
inferredcites →https://doi.org/10.1109/tkde.2020.3031329openalex-snapshot
Personalized Graph Neural Networks With Attention Mechanism for Session-Aware Recommendation
inferredcites →https://doi.org/10.1109/tkde.2020.3033841openalex-snapshot
A Deep Neural Network for Crossing-City POI Recommendations
inferredcites →https://doi.org/10.1109/tkde.2021.3111436openalex-snapshot
Incorporating Link Prediction into Multi-Relational Item Graph Modeling for Session-based Recommendation
inferredcites →https://doi.org/10.1109/tmm.2021.3111487openalex-snapshot
Multi-Modal Variational Graph Auto-Encoder for Recommendation Systems
inferredcites →https://doi.org/10.1109/tnnls.2021.3091681openalex-snapshot
Online Active Learning for Drifting Data Streams
inferredcites →https://doi.org/10.1109/tnse.2022.3177307openalex-snapshot
Deep Multi-Attributed-View Graph Representation Learning
inferredcites →https://doi.org/10.1145/1401890.1401944openalex-snapshot
Factorization meets the neighborhood
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Automatic tag recommendation algorithms for social recommender systems
inferredcites →https://doi.org/10.1145/192844.192905openalex-snapshot
GroupLens
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Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
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Time-aware point-of-interest recommendation
inferredcites →https://doi.org/10.1145/2542665openalex-snapshot
Object-Oriented Travel Package Recommendation
inferredcites →https://doi.org/10.1145/2559169openalex-snapshot
Cost-Aware Collaborative Filtering for Travel Tour Recommendations
inferredcites →https://doi.org/10.1145/2623330.2623732openalex-snapshot
DeepWalk
inferredcites →https://doi.org/10.1145/2661829.2661983openalex-snapshot
Graph-based Point-of-interest Recommendation with Geographical and Temporal Influences
inferredcites →https://doi.org/10.1145/2783258.2783273openalex-snapshot
Collaborative Deep Learning for Recommender Systems
inferredcites →https://doi.org/10.1145/2939672.2939861openalex-snapshot
Portfolio Selections in P2P Lending
inferredcites →https://doi.org/10.1145/3054952openalex-snapshot
Multirelational Recommendation in Heterogeneous Networks
inferredcites →https://doi.org/10.1145/3097983.3098094openalex-snapshot
Bridging Collaborative Filtering and Semi-Supervised Learning
inferredcites →https://doi.org/10.1145/3331184.3331267openalex-snapshot
Neural Graph Collaborative Filtering
inferredcites →https://doi.org/10.1145/3340531.3411919openalex-snapshot
Explainable Recommender Systems via Resolving Learning Representations
inferredcites →https://doi.org/10.1145/3357384openalex-snapshot
Proceedings of the 28th ACM International Conference on Information and Knowledge Management
inferredcites →https://doi.org/10.1145/3372118openalex-snapshot
Travel Recommendation via Fusing Multi-Auxiliary Information into Matrix Factorization
inferredcites →https://doi.org/10.1145/3437963openalex-snapshot
Proceedings of the 14th ACM International Conference on Web Search and Data Mining
inferredcites →https://doi.org/10.1145/3460426.3463638openalex-snapshot
Leveraging Two Types of Global Graph for Sequential Fashion Recommendation
inferredcites →https://doi.org/10.1145/3468227openalex-snapshot
Factorizing Historical User Actions for Next-Day Purchase Prediction
inferredcites →https://doi.org/10.18653/v1/2022.naacl-mainopenalex-snapshot
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
inferredcites →https://doi.org/10.48550/arxiv.1908.09710openalex-snapshot
Variational Graph Recurrent Neural Networks

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

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