Session-based Recommendation with Graph Neural Networks
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Summary
In the proposed method, session sequences are modeled as graph-structured data and GNN can capture complex transitions of items, which are difficult to be revealed by previous conventional sequential methods.
- Type
- article
- Published
- 2018-11-01
- Cited by
- 1,947
- References
- 34
- Access
- Open access
- OpenAlex
- https://openalex.org/W2899457523
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:53219431
Keywords
Session (web analytics), Embedding, Recommender system, Graph, Artificial neural network
References
- Recurrent neural network based language model
- Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models
- A new model for learning in graph domains
- LINE: Large-scale Information Network Embedding
- Item-based collaborative filtering recommendation algorithms
- Matrix Factorization Techniques for Recommender Systems
- The Graph Neural Network Model
- Probabilistic Matrix Factorization
- Distributed Representations of Words and Phrases and their Compositionality
- DeepWalk: online learning of social representations
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
- Factorizing personalized Markov chains for next-basket recommendation
- node2vec: Scalable Feature Learning for Networks
- Improved Recurrent Neural Networks for Session-based Recommendations
- Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations
- Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts
- The More You Know: Using Knowledge Graphs for Image Classification
- Session-aware Information Embedding for E-commerce Product Recommendation
- 3D Convolutional Networks for Session-based Recommendation with Content Features
- When Recurrent Neural Networks meet the Neighborhood for Session-Based Recommendation
Cited by
- Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks
- A Survey on Session-based Recommender Systems
- Multi-Scale Quasi-RNN for Next Item Recommendation
- Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification
- Deep Learning-Based Sequential Recommender Systems: Concepts, Algorithms, and Evaluations
- Sequence and Time Aware Neighborhood for Session-based Recommendations: STAN
- Deep Personalized Re-targeting
- Neural Session-Aware Recommendation
- A Simple Deep Personalized Recommendation System
- Correlation-Sensitive Next-Basket Recommendation
- Graph Contextualized Self-Attention Network for Session-based Recommendation
- Sequential Recommender Systems: Challenges, Progress and Prospects
- Accelerated learning from recommender systems using multi-armed bandit
- GACOforRec: Session-Based Graph Convolutional Neural Networks Recommendation Model
- NISER: Normalized Item and Session Representations with Graph Neural Networks
- Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation
- Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction
- Hotel2vec: Learning Attribute-Aware Hotel Embeddings with Self-Supervision
- Graph-based knowledge tracing: Modeling student proficiency using graph neural networks
- Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recommendation
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