mlsanityData to 7 Oct 2026

Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation

arXiv 2307.09688 ↗First posted 19 Jul 2023cs.IR cs.AI cs.LGcited by 42

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Abstract (arXiv)

Modeling customer shopping intentions is a crucial task for e-commerce, as it directly impacts user experience and engagement. Thus, accurately understanding customer preferences is essential for providing personalized recommendations. Session-based recommendation, which utilizes customer session data to predict their next interaction, has become increasingly popular. However, existing session datasets have limitations in terms of item attributes, user diversity, and dataset scale. As a result, they cannot comprehensively capture the spectrum of user behaviors and preferences. To bridge this gap, we present the Amazon Multilingual Multi-locale Shopping Session Dataset, namely Amazon-M2. It is the first multilingual dataset consisting of millions of user sessions from six different locales, where the major languages of products are English, German, Japanese, French, Italian, and Spanish. Remarkably, the dataset can help us enhance personalization and understanding of user preferences, which can benefit various existing tasks as well as enable new tasks. To test the potential of the dataset, we introduce three tasks in this work: (1) next-product recommendation, (2) next-product recommendation with domain shifts, and (3) next-product title generation. With the above tasks, we benchmark a range of algorithms on our proposed dataset, drawing new insights for further research and practice. In addition, based on the proposed dataset and tasks, we hosted a competition in the KDD CUP 2023 and have attracted thousands of users and submissions. The winning solutions and the associated workshop can be accessed at our website https://kddcup23.github.io/.

Key facts. Cited by 42 papers in the map (data through 7 Oct 2026). Builds on 50 of its 84 references that are in the map. First posted on arXiv 19 Jul 2023.

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50 of 84 references.

References · 50

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38 more
  1. 2023Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyondcited by 409
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  16. 2017Recurrent Neural Networks with Top-k Gains for Session-based Recommendationscited by 165
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 3; 2024: 18; 2025: 14; 2026: 7.

42 papers.

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  1. 2023Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queriescited by 82
  2. 2024Linear-Time Graph Neural Networks for Scalable Recommendationscited by 31
  3. 2025MLRC-Bench: Can Language Agents Solve Machine Learning Research Challenges?cited by 27
  4. 2025OPeRA: A Dataset of Observation, Persona, Rationale, and Action for Evaluating LLMs on Human Online Shopping Behavior Simulationcited by 26
  5. 2024Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Modelscited by 20
  6. 2024Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendationcited by 19
  7. 2024Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approachcited by 17
  8. 2024InstructG2I: Synthesizing Images from Multimodal Attributed Graphscited by 14
  9. 2023Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patternscited by 11
  10. 2024IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commercecited by 11
  11. 2025ChineseEcomQA: A Scalable E-commerce Concept Evaluation Benchmark for Large Language Modelscited by 9
  12. 2023Understanding Inter-Session Intentions via Complex Logical Reasoningcited by 7
30 more
  1. 2024Position-Aware Parameter Efficient Fine-Tuning Approach for Reducing Positional Bias in LLMscited by 7
  2. 2025Retrieval-Augmented Purifier for Robust LLM-Empowered Recommendationcited by 7
  3. 2024MerRec: A Large-scale Multipurpose Mercari Dataset for Consumer-to-Consumer Recommendation Systemscited by 6
  4. 2024Sequential LLM Framework for Fashion Recommendationcited by 6
  5. 2024Captions Speak Louder than Images: Generalizing Foundation Models for E-commerce from High-quality Multimodal Instruction Datacited by 6
  6. 2024Intention Knowledge Graph Construction for User Intention Relation Modelingcited by 6
  7. 2025SessionIntentBench: A Multi-task Inter-session Intention-shift Modeling Benchmark for E-commerce Customer Behavior Understandingcited by 6
  8. 2025Understanding Generative Recommendation with Semantic IDs from a Model-scaling Viewcited by 6
  9. 2026AgenticShop: Benchmarking Agentic Product Curation for Personalized Web Shoppingcited by 6
  10. 2025Exploring Backdoor Attack and Defense for LLM-empowered Recommendationscited by 4
  11. 2025Unlearning Inversion Attacks for Graph Neural Networkscited by 4
  12. 2024UnifiedRL: A Reinforcement Learning Algorithm Tailored for Multi-Task Fusion in Large-Scale Recommender Systemscited by 2
  13. 2024Dynamic User Interest Augmentation via Stream Clustering and Memory Networks in Large-Scale Recommender Systemscited by 2
  14. 2024Structural Disentanglement of Causal and Correlated Conceptscited by 1
  15. 2024EC-Guide: A Comprehensive E-Commerce Guide for Instruction Tuning and Quantizationcited by 1
  16. 2024Understanding and Scaling Collaborative Filtering Optimization from the Perspective of Matrix Rankcited by 1
  17. 2025Enhance GNNs with Reliable Confidence Estimation via Adversarial Calibration Learningcited by 1
  18. 2025Let It Go? Not Quite: Addressing Item Cold Start in Sequential Recommendations with Content-Based Initializationcited by 1
  19. 2025Glance for Context: Learning When to Leverage LLMs for Node-Aware GNN-LLM Fusioncited by 1
  20. 2024InteraRec: Screenshot Based Recommendations Using Multimodal Large Language Modelscited by 0
  21. 2024EnhancedRL: An Enhanced-State Reinforcement Learning Algorithm for Multi-Task Fusion in Recommender Systemscited by 0
  22. 2025JIR-Arena: The First Benchmark Dataset for Just-in-time Information Recommendationcited by 0
  23. 2025Optimizing Conversational Product Recommendation via Reinforcement Learningcited by 0
  24. 2025An Active Diffusion Neural Network for Graphscited by 0
  25. 2026Context-aware Skin Cancer Epithelial Cell Classification with Scalable Graph Transformerscited by 0
  26. 2026HORIZON: A Benchmark for In-the-wild User Behaviour Modelingcited by 0
  27. 2026Pre-trained LLMs Meet Sequential Recommenders: Efficient User-Centric Knowledge Distillationcited by 0
  28. 2026An Embarrassingly Simple Graph Heuristic Reveals Shortcut-Solvable Benchmarks for Sequential Recommendationcited by 0
  29. 2026APeB: Benchmarking Personalization Ability of Large Language Model Agentscited by 0
  30. 2026Behavior2Value: Benchmarking and Empowering LLMs for Consumer Value Measurement from E-commerce Behaviorscited by 0