mlsanityData to 7 Oct 2026

Recurrent Neural Networks with Top-k Gains for Session-based Recommendations

arXiv 1706.03847 ↗First posted 12 Jun 2017cs.LGcited by 165

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Abstract (arXiv)

RNNs have been shown to be excellent models for sequential data and in particular for data that is generated by users in an session-based manner. The use of RNNs provides impressive performance benefits over classical methods in session-based recommendations. In this work we introduce novel ranking loss functions tailored to RNNs in the recommendation setting. The improved performance of these losses over alternatives, along with further tricks and refinements described in this work, allow for an overall improvement of up to 35% in terms of MRR and Recall@20 over previous session-based RNN solutions and up to 53% over classical collaborative filtering approaches. Unlike data augmentation-based improvements, our method does not increase training times significantly. We further demonstrate the performance gain of the RNN over baselines in an online A/B test.

Key facts. Cited by 165 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 Jun 2017.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 31; 2022: 34; 2023: 32; 2024: 35; 2025: 21; 2026: 12.

165 papers.

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  1. 2023How to Index Item IDs for Recommendation Foundation Modelscited by 102
  2. 2023DiffuRec: A Diffusion Model for Sequential Recommendationcited by 91
  3. 2023ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendationcited by 76
  4. 2024A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)cited by 58
  5. 2022PinnerFormer: Sequence Modeling for User Representation at Pinterestcited by 57
  6. 2025Reinforced Latent Reasoning for LLM-based Recommendationcited by 46
  7. 2023Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generationcited by 42
  8. 2023UP5: Unbiased Foundation Model for Fairness-aware Recommendationcited by 38
  9. 2021Sparse-Interest Network for Sequential Recommendationcited by 37
  10. 2023Turning Dross Into Gold Loss: is BERT4Rec really better than SASRec?cited by 30
  11. 2023Large Language Models for Intent-Driven Session Recommendationscited by 30
  12. 2023A Survey on User Behavior Modeling in Recommender Systemscited by 26
38 more
  1. 2023AutoMLP: Automated MLP for Sequential Recommendationscited by 25
  2. 2021A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Modelscited by 24
  3. 2023Conditional Denoising Diffusion for Sequential Recommendationcited by 23
  4. 2022CARCA: Context and Attribute-Aware Next-Item Recommendation via Cross-Attentioncited by 22
  5. 2022A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendationcited by 22
  6. 2024Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendationcited by 19
  7. 2025LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential Recommendationcited by 19
  8. 2021Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendationcited by 18
  9. 2023MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendationcited by 18
  10. 2021Dynamic Memory based Attention Network for Sequential Recommendationcited by 16
  11. 2021RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendationcited by 16
  12. 2021RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendationcited by 15
  13. 2024Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendationcited by 15
  14. 2024Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item Catalogscited by 15
  15. 2021Causal Incremental Graph Convolution for Recommender System Retrainingcited by 14
  16. 2021Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learningcited by 14
  17. 2022Effective and Efficient Training for Sequential Recommendation using Recency Samplingcited by 13
  18. 2022RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graphcited by 11
  19. 2022Price DOES Matter! Modeling Price and Interest Preferences in Session-based Recommendationcited by 11
  20. 2022DDGHM: Dual Dynamic Graph with Hybrid Metric Training for Cross-Domain Sequential Recommendationcited by 11
  21. 2022Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatmentcited by 10
  22. 2022FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddingscited by 9
  23. 2022Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News Recommendationcited by 9
  24. 2022M2TRec: Metadata-aware Multi-task Transformer for Large-scale and Cold-start free Session-based Recommendationscited by 9
  25. 2023Scaling Session-Based Transformer Recommendations using Optimized Negative Sampling and Loss Functionscited by 9
  26. 2024Diffusion-based Contrastive Learning for Sequential Recommendationcited by 9
  27. 2024RECE: Reduced Cross-Entropy Loss for Large-Catalogue Sequential Recommenderscited by 9
  28. 2025LLM-based User Profile Management for Recommender Systemcited by 9
  29. 2022Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Searchcited by 8
  30. 2022Accurate Action Recommendation for Smart Home via Two-Level Encoders and Commonsense Knowledgecited by 8
  31. 2024Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendationcited by 8
  32. 2024Dual Conditional Diffusion Models for Sequential Recommendationcited by 8
  33. 2025Diffusion Generative Recommendation with Continuous Tokenscited by 8
  34. 2021Transformers with multi-modal features and post-fusion context for e-commerce session-based recommendationcited by 7
  35. 2021Position-enhanced and Time-aware Graph Convolutional Network for Sequential Recommendationscited by 7
  36. 2022Determinantal Point Process Likelihoods for Sequential Recommendationcited by 7
  37. 2023Sequential Recommendation with Diffusion Modelscited by 7
  38. 2023Masked and Swapped Sequence Modeling for Next Novel Basket Recommendation in Grocery Shoppingcited by 7

50 most cited of 165 All 165 (JSON)