mlsanityData to 14 Oct 2026

CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space

arXiv 2204.11067 ↗First posted 23 Apr 2022cs.IR cs.AIcited by 37

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Abstract (arXiv)

Session-based Recommendation (SBR) refers to the task of predicting the next item based on short-term user behaviors within an anonymous session. However, session embedding learned by a non-linear encoder is usually not in the same representation space as item embeddings, resulting in the inconsistent prediction issue while recommending items. To address this issue, we propose a simple and effective framework named CORE, which can unify the representation space for both the encoding and decoding processes. Firstly, we design a representation-consistent encoder that takes the linear combination of input item embeddings as session embedding, guaranteeing that sessions and items are in the same representation space. Besides, we propose a robust distance measuring method to prevent overfitting of embeddings in the consistent representation space. Extensive experiments conducted on five public real-world datasets demonstrate the effectiveness and efficiency of the proposed method. The code is available at: https://github.com/RUCAIBox/CORE.

Key facts. Cited by 37 papers in the map (data through 14 Oct 2026). Builds on 21 of its 34 references that are in the map. First posted on arXiv 23 Apr 2022.

Builds on

21 of 34 references.

References · 21

  1. 2014Adam: A Method for Stochastic Optimizationcited by 37,240
  2. 2020A Simple Framework for Contrastive Learning of Visual Representationscited by 12,049
  3. 2019Momentum Contrast for Unsupervised Visual Representation Learningcited by 7,513
  4. 2020Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hyperspherecited by 1,405
  5. 2018Self-Attentive Sequential Recommendationcited by 1,184
  6. 2019BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformercited by 964
  7. 2018Session-based Recommendation with Graph Neural Networkscited by 312
  8. 2020S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximizationcited by 311
  9. 2017Neural Attentive Session-based Recommendationcited by 237
  10. 2020RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithmscited by 138
  11. 2019A Survey on Session-based Recommender Systemscited by 97
  12. 2022Filter-enhanced MLP is All You Need for Sequential Recommendationcited by 96
9 more
  1. 2022Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learningcited by 86
  2. 2021Global Context Enhanced Graph Neural Networks for Session-based Recommendationcited by 81
  3. 2020Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendationcited by 75
  4. 2018RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-based Recommendationcited by 51
  5. 2019Rethinking the Item Order in Session-based Recommendation with Graph Neural Networkscited by 43
  6. 2020TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendationcited by 33
  7. 2020Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithmscited by 24
  8. 2019NISER: Normalized Item and Session Representations to Handle Popularity Biascited by 12
  9. 2021Unsupervised Proxy Selection for Session-based Recommender Systemscited by 7

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 2; 2023: 9; 2024: 14; 2025: 8; 2026: 4.

37 papers.

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  1. 2023Large Language Models are Zero-Shot Rankers for Recommender Systemscited by 309
  2. 2022Towards Universal Sequence Representation Learning for Recommender Systemscited by 121
  3. 2022Learning Vector-Quantized Item Representation for Transferable Sequential Recommenderscited by 112
  4. 2023Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generationcited by 42
  5. 2023Large Language Models for Intent-Driven Session Recommendationscited by 30
  6. 2023When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendationcited by 17
  7. 2025Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential Recommendationcited by 15
  8. 2023Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patternscited by 11
  9. 2024Make Large Language Model a Better Rankercited by 11
  10. 2024Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendationcited by 8
  11. 2023Cracking the Code of Negative Transfer: A Cooperative Game Theoretic Approach for Cross-Domain Sequential Recommendationcited by 7
  12. 2024Sequential LLM Framework for Fashion Recommendationcited by 6
25 more
  1. 2024Intention Knowledge Graph Construction for User Intention Relation Modelingcited by 6
  2. 2024DNS-Rec: Data-aware Neural Architecture Search for Recommender Systemscited by 4
  3. 2024Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential Recommendationcited by 4
  4. 2025Unlocking the Power of Diffusion Models in Sequential Recommendation: A Simple and Effective Approachcited by 4
  5. 2024EulerFormer: Sequential User Behavior Modeling with Complex Vector Attentioncited by 3
  6. 2023Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Frameworkcited by 2
  7. 2024Measuring Recency Bias In Sequential Recommendation Systemscited by 2
  8. 2026CaST-POI: Candidate-Conditioned Spatiotemporal Modeling for Next POI Recommendationcited by 2
  9. 2023Performance Comparison of Session-based Recommendation Algorithms based on GNNscited by 1
  10. 2024Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendationcited by 1
  11. 2024ELASTIC: Efficient Linear Attention for Sequential Interest Compressioncited by 1
  12. 2024Item Cluster-aware Prompt Learning for Session-based Recommendationcited by 1
  13. 2025Distilling Transitional Pattern to Large Language Models for Multimodal Session-based Recommendationcited by 1
  14. 2025One Search Fits All: Pareto-Optimal Eco-Friendly Model Selectioncited by 1
  15. 2023COUPA: An Industrial Recommender System for Online to Offline Service Platformscited by 0
  16. 2024Personalized Programming Guidance based on Deep Programming Learning Style Capturingcited by 0
  17. 2024Modeling and Analyzing the Influence of Non-Item Pages on Sequential Next-Item Predictioncited by 0
  18. 2024SPGL: Enhancing Session-based Recommendation with Single Positive Graph Learningcited by 0
  19. 2025INTERPOS: Interaction Rhythm Guided Positional Morphing for Mobile App Recommender Systemscited by 0
  20. 2025SemSR: Semantics aware robust Session-based Recommendationscited by 0
  21. 2025Struc-EMB: The Potential of Structure-Aware Encoding in Language Embeddingscited by 0
  22. 2025Bid Farewell to Seesaw: Towards Accurate Long-tail Session-based Recommendation via Dual Constraints of Hybrid Intentscited by 0
  23. 2026Facet-Aware Multi-Head Mixture-of-Experts Model with Text-Enhanced Pre-training for Sequential Recommendationcited by 0
  24. 2026CAST: Modeling Semantic-Level Transitions for Complementary-Aware Sequential Recommendationcited by 0
  25. 2026Modeling Behavioral Intensity and Transitions for Generative Recommendationcited by 0