mlsanityData to 7 Oct 2026

Neural Attentive Session-based Recommendation

arXiv 1711.04725 ↗First posted 13 Nov 2017cs.IRcited by 237

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Abstract (arXiv)

Given e-commerce scenarios that user profiles are invisible, session-based recommendation is proposed to generate recommendation results from short sessions. Previous work only considers the user's sequential behavior in the current session, whereas the user's main purpose in the current session is not emphasized. In this paper, we propose a novel neural networks framework, i.e., Neural Attentive Recommendation Machine (NARM), to tackle this problem. Specifically, we explore a hybrid encoder with an attention mechanism to model the user's sequential behavior and capture the user's main purpose in the current session, which are combined as a unified session representation later. We then compute the recommendation scores for each candidate item with a bi-linear matching scheme based on this unified session representation. We train NARM by jointly learning the item and session representations as well as their matchings. We carried out extensive experiments on two benchmark datasets. Our experimental results show that NARM outperforms state-of-the-art baselines on both datasets. Furthermore, we also find that NARM achieves a significant improvement on long sessions, which demonstrates its advantages in modeling the user's sequential behavior and main purpose simultaneously.

Key facts. Cited by 237 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 Nov 2017.

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Citing papers per year: 2021: 41; 2022: 47; 2023: 43; 2024: 47; 2025: 29; 2026: 30.

237 papers.

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  1. 2023Recommender Systems with Generative Retrievalcited by 191
  2. 2022Towards Universal Sequence Representation Learning for Recommender Systemscited by 120
  3. 2022Learning Vector-Quantized Item Representation for Transferable Sequential Recommenderscited by 112
  4. 2021STAN: Spatio-Temporal Attention Network for Next Location Recommendationcited by 102
  5. 2022Filter-enhanced MLP is All You Need for Sequential Recommendationcited by 96
  6. 2023A Comprehensive Survey on Deep Graph Representation Learningcited by 72
  7. 2021Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformercited by 69
  8. 2021A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendationcited by 59
  9. 2023LlamaRec: Two-Stage Recommendation using Large Language Models for Rankingcited by 52
  10. 2021Attention, please! A survey of Neural Attention Models in Deep Learningcited by 50
  11. 2021Zero-Shot Recommender Systemscited by 45
  12. 2023Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generationcited by 42
38 more
  1. 2022CORE: Simple and Effective Session-based Recommendation within Consistent Representation Spacecited by 37
  2. 2024Plug-in Diffusion Model for Sequential Recommendationcited by 37
  3. 2021Black-Box Attacks on Sequential Recommenders via Data-Free Model Extractioncited by 34
  4. 2021Dynamic Graph Collaborative Filteringcited by 33
  5. 2023Large Language Models for Intent-Driven Session Recommendationscited by 30
  6. 2021Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Networkcited by 28
  7. 2023A Survey on User Behavior Modeling in Recommender Systemscited by 26
  8. 2023AutoMLP: Automated MLP for Sequential Recommendationscited by 25
  9. 2021A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Modelscited by 24
  10. 2021Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendationcited by 22
  11. 2022A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendationcited by 22
  12. 2022Multi-Behavior Sequential Recommendation with Temporal Graph Transformercited by 20
  13. 2023Graph Masked Autoencoder for Sequential Recommendationcited by 19
  14. 2023Embedding in Recommender Systems: A Surveycited by 19
  15. 2024ContextGNN: Beyond Two-Tower Recommendation Systemscited by 19
  16. 2021Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendationcited by 18
  17. 2022Enhancing Sequential Recommendation with Graph Contrastive Learningcited by 18
  18. 2025ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendationcited by 18
  19. 2024Image Fusion for Cross-Domain Sequential Recommendationcited by 17
  20. 2021Dynamic Memory based Attention Network for Sequential Recommendationcited by 16
  21. 2021Causal Collaborative Filteringcited by 13
  22. 2024Pacer and Runner: Cooperative Learning Framework between Single- and Cross-Domain Sequential Recommendationcited by 13
  23. 2025TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendationcited by 13
  24. 2021One4all User Representation for Recommender Systems in E-commercecited by 12
  25. 2022Price DOES Matter! Modeling Price and Interest Preferences in Session-based Recommendationcited by 11
  26. 2022Defending Substitution-Based Profile Pollution Attacks on Sequential Recommenderscited by 11
  27. 2023Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patternscited by 11
  28. 2024Make Large Language Model a Better Rankercited by 11
  29. 2025LLM-Enhanced Multimodal Fusion for Cross-Domain Sequential Recommendationcited by 11
  30. 2022Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatmentcited by 10
  31. 2023Text Matching Improves Sequential Recommendation by Reducing Popularity Biasescited by 10
  32. 2023APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendationcited by 10
  33. 2024SIGMA: Selective Gated Mamba for Sequential Recommendationcited by 10
  34. 2022Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News Recommendationcited by 9
  35. 2022M2TRec: Metadata-aware Multi-task Transformer for Large-scale and Cold-start free Session-based Recommendationscited by 9
  36. 2022DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracingcited by 9
  37. 2022Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Searchcited by 8
  38. 2022Coarse-to-Fine Sparse Sequential Recommendationcited by 8

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