序列推荐论文趋势 2023–2026
会话推荐
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 142 篇被归入该主题的论文。
主要结论
- 序列推荐论文从 2023 年的 39 篇增长到 2026 年的 43 篇，三年间扩大到约 1.1 倍。
- NeurIPS 是发序列推荐论文最多的会议，2023–2026 年共 67 篇，占四个会议总量的 47%。
- 交叉方向里涨得最快的是MCTS：同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 5 篇。
- 在「推荐与广告」的 5 个主题里，它的 2026 年论文数排第 5；同组增长最快的点击率预测是 2.6 倍，序列推荐是 1.1 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 13 | 10 | 14 | 2 | 39 |
| 2024 | 15 | 4 | 11 | 1 | 31 |
| 2025 | 19 | 6 | 4 | 0 | 29 |
| 2026 | 20 | 10 | 11 | 2 | 43 |
代表论文
按年份和会议均匀挑选，方便快速看到每一届的样貌
- NeurIPS 2026An Embarrassingly Simple Graph Heuristic Reveals Shortcut-Solvable Benchmarks for Sequential Recommendation
- ICML 2026Sequential Group Composition: A Window into the Mechanics of Deep Learning
- ICLR 2026Energy-Regularized Sequential Model Editing on Hyperspheres
- CVPR 2026Online3R Online Learning for Consistent Sequential Reconstruction Based on Geometry
- NeurIPS 2025Causality-Induced Positional Encoding for Transformer-Based Representation Learning of Non-Sequential Features
- ICML 2025A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings
- ICLR 2025A Non-Contrastive Learning Framework for Sequential Recommendation with Preference-Preserving Profile Generation
- NeurIPS 2024CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence
- ICML 2024Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations
- ICLR 2024Parallelizing non-linear sequential models over the sequence length
- CVPR 2024MuseChat: A Conversational Music Recommendation System for Videos
- NeurIPS 2023Cascading Bandits: Optimizing Recommendation Frequency in Delayed Feedback Environments
- ICML 2023A Kernel Stein Test of Goodness of Fit for Sequential Models
- ICLR 2023Neural-based classification rule learning for sequential data
- CVPR 2023Guided Recommendation for Model Fine-Tuning
- NeurIPS 2026DARTS: Targeting Prognostic Covariates in Budget-Constrained Sequential Experiments
- ICML 2026Asymptotically Optimal Sequential Testing with Markovian Data
- ICLR 2026Sequential Parallel Duality in Prefix Scannable Models
- CVPR 2026MGDHand Multi-Granularity Prior-to-Inertial Distillation Framework for Sequential 3D Hand Pose
- NeurIPS 2025FFN Fusion: Rethinking Sequential Computation in Large Language Models
全部序列推荐论文
共 10 篇，第 1 / 1 页
- ICLR 2026Bayesian Ensemble for Sequential Decision-Making
- ICLR 2026CollectiveKV: Decoupling and Sharing Collaborative Information in Sequential Recommendation
- ICLR 2026Energy-Regularized Sequential Model Editing on Hyperspheres
- ICLR 2026Grouping Nodes with known Value Differences: A lossless UCT-based Abstraction Algorithm
- ICLR 2026Massive Memorization with Hundreds of Trillions of Parameters for Sequential Transducer Generative Recommenders
- ICLR 2026Revenue Maximization Under Sequential Price Competition Via The Estimation Of $s$-Concave Demand Functions
- ICLR 2026Revisiting Active Sequential Prediction-Powered Mean Estimation
- ICLR 2026Sequential Parallel Duality in Prefix Scannable Models
- ICLR 2026Steering Diffusion Models Towards Credible Content Recommendation
- ICLR 2026Temporal Sparse Autoencoders: Leveraging the Sequential Nature of Language for Interpretability
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查序列推荐在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "sequential-recommendation"}
常见问题
- 2023–2026 年四大会议一共有多少篇序列推荐论文？
- 共 142 篇，按年份分别是 2023 年 39 篇、2024 年 31 篇、2025 年 29 篇、2026 年 43 篇。
- NeurIPS 2026 有多少篇序列推荐论文？
- NeurIPS 2026 有 20 篇序列推荐论文，上一届是 19 篇。
- ICLR 2026 有多少篇序列推荐论文？
- ICLR 2026 有 10 篇序列推荐论文，上一届是 6 篇。
- ICML 2026 有多少篇序列推荐论文？
- ICML 2026 有 11 篇序列推荐论文，上一届是 4 篇。
- CVPR 2026 有多少篇序列推荐论文？
- CVPR 2026 有 2 篇序列推荐论文。
- 哪个会议的序列推荐论文最多？
- NeurIPS，2023–2026 年共 67 篇。