Sequential Recommendation

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Overview

Sequential recommendation models ordered user actions—such as clicks, purchases, views, or visits—to predict the next item or basket while tracking stable preferences and shifting intent. Common approaches include recurrent and Transformer attention models, graph and state-space methods, temporal encodings, and long-history compression; generative systems increasingly use semantic item tokens or language-model-derived knowledge. Work also addresses cold-start and long-tail items, cross-domain transfer, controllable recommendations, and deployment constraints, using next-item ranking benchmarks and online A/B tests. A central tension is balancing richer context and semantic reasoning against latency, bias, and reliable generalization, since benchmark gains can reflect shortcuts or memorized transitions while users and catalogs change.

Latest papers

CardsList

141 papers12 papers in the last four weeks, down 14% on the four weeks before. 0.1% of all new papers.

  1. A Reproducibility Analysis of PO4ISR: Diagnosing and Mitigating Semantic Drift in LLM-Based Session Recommendation

    Apr 29, 2026Aditya Tiwari, Konduri Naga Lakshmi Rekha, Rajesh Kumar MundotiyaSequential RecommendationLLM Prompting

    MATRA Lab Department of Computer Science and Engineering Indian Institute of Technology Bhilai Chhattisgarh, India 491002

  2. Action-Aware Generative Sequence Modeling for Short Video Recommendation

    Apr 28, 2026Wenhao Li, Zihan Lin, Zhengxiao Guo +7Sequential RecommendationUser Preference Modeling

    Kuaishou Inc. · Beijing, China · Unaffiliated +2

  3. Modeling Behavioral Intensity and Transitions for Generative Recommendation

    Apr 27, 2026Wenxuan Yang, Xiaoyang Xu, Hanyu Zhang +3Sequential RecommendationRecommender Systems

    Ant Group · Fudan University

  4. Versioned Late Materialization for Ultra-Long Sequence Training in Recommendation Systems at Scale

    Apr 27, 2026Liang Guo, Ge Song, Litao Deng +9Sequential RecommendationTraining Data Curation

    Meta Platforms, Inc., USA

  5. FreeScale: Distributed Training for Sequence Recommendation Models with Minimal Scaling Cost

    Apr 27, 2026Chenhao Feng, Haoli Zhang, Shakhzod Ali-Zade +17Sequential RecommendationCommunication-Efficient Distributed Training

    1Meta Inc.

  6. Pre-trained LLMs Meet Sequential Recommenders: Efficient User-Centric Knowledge Distillation

    Apr 23, 2026Nikita Severin, Danil Kartushov, Vladislav Urzhumov +8Sequential RecommendationLanguage Model Distillation

    Independent researcher, Belgrade, Serbia · ITMO University, Saint Petersburg, Russia · Innopolis University, Innopolis, Russia +3

  7. CAST: Modeling Semantic-Level Transitions for Complementary-Aware Sequential Recommendation

    Apr 21, 2026Qian Zhang, Lech Szymanski, Haibo Zhang +1Sequential RecommendationRecommender Systems

    School of Computing, University of Otago · Dunedin, New Zealand · University of New South Wales +1

  8. HORIZON: A Benchmark for In-the-wild User Behaviour Modeling

    Apr 19, 2026Arnav Goel, Pranjal A Chitale, Bhawna Paliwal +2Sequential RecommendationCross-Domain Recommendation

    Carnegie Mellon University · Microsoft Research India · University of California, Berkeley

  9. Learning Behaviorally Grounded Item Embeddings via Personalized Temporal Contexts

    Apr 16, 2026Rafael T. Sereicikas, Pedro R. Pires, Gregorio F. Azevedo +1Sequential RecommendationRecommender Systems

    Federal University of São Carlos · Sorocaba, São Paulo, Brazil

  10. ID and Graph View Contrastive Learning with Multi-View Attention Fusion for Sequential Recommendation

    Apr 15, 2026Xiaofan Zhou, Kyumin LeeMulti-View Contrastive LearningSequential Recommendation

    Worcester Polytechnic Institute, Worcester, USA

  11. TokenFormer: Unify the Multi-Field and Sequential Recommendation Worlds

    Apr 15, 2026Yifeng Zhou, Yuehong Hu, Zhixiang Feng +9Recommender SystemsSequential Recommendation

    Tencent Inc., Shenzhen, China

  12. Is Sliding Window All You Need? An Open Framework for Long-Sequence Recommendation

    Apr 14, 2026Sayak Chakrabarty, Souradip PalSequential RecommendationSequence Modeling

    Department of Computer Science, Northwestern University, Evanston, IL 60208, USA · School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47906, USA

  13. MOSAIC: Multi-Domain Orthogonal Session Adaptive Intent Capture for Prescient Recommendations

    Apr 11, 2026Abderaouf Bahi, Mourad Boughaba, Ibtissem Gasmi +2Recommender SystemsUser Preference Modeling

    Computer Science and Applied Mathematics Laboratory (LIMA), Faculty of Science and Technology, Chadli Bendjedid University, P.O. Box 73, El Tarf 36000, Algeria · Electro-Mechanical Systems Laboratory (LSEM), Faculty of Technology, Badji Mokhtar University, P.O. Box 12, Annaba 23000, Algeria · Mathematical Modeling and Numerical Simulation Laboratory (LAM2SIN), Faculty of Technology, Badji Mokhtar University, P.O. Box 12, Annaba 23000, Algeria

  14. TME-PSR: Time-aware, Multi-interest, and Explanation Personalization for Sequential Recommendation

    Apr 10, 2026Qingzhuo Wang, Leilei Wen, Juntao Chen +4Sequential RecommendationRecommender Systems

    Tongji University

  15. Long-Term Embeddings for Balanced Personalization

    Apr 9, 2026Andrii Dzhoha, Egor MalykhSequential RecommendationUser Preference Modeling

    Zalando SE Berlin, Germany

  16. CASE: Cadence-Aware Set Encoding for Large-Scale Next Basket Repurchase Recommendation

    Apr 8, 2026Yanan Cao, Ashish Ranjan, Sinduja Subramaniam +3Recommender SystemsSequential Recommendation

    Walmart Global Tech, Sunnyvale, CA, USA

  17. Retrieve-then-Adapt: Retrieval-Augmented Test-Time Adaptation for Sequential Recommendation

    Apr 7, 2026Xing Tang, Ziqiang Cui, Jingyang Bin +6Sequential RecommendationTest-Time Adaptation

    School of Artificial Intelligence, Shenzhen Technology University, Shenzhen, China · City University of Hong Kong, Hong Kong, Hong Kong SAR · Shenzhen Technology University, Shenzhen, China +2

  18. SLSREC: Self-Supervised Contrastive Learning for Adaptive Fusion of Long- and Short-Term User Interests

    Apr 6, 2026Wei Zhou, Yue Shen, Junkai Ji +5Sequential RecommendationUser Preference Modeling

    School of Artificial Intelligence, Shenzhen University, Shenzhen 518060, China · Shenzhen Technology University, Shenzhen, China · College of Computer Science, Chongqing University, Chongqing, China

  19. FAVE: Flow-based Average Velocity Establishment for Sequential Recommendation

    Apr 6, 2026Ke Shi, Yao Zhang, Feng Guo +4Sequential RecommendationGenerative Recommendation

    University of Electronic Science and Technology of China · State Key Laboratory of Internet Architecture

  20. Fusion and Alignment Enhancement with Large Language Models for Tail-item Sequential Recommendation

    Apr 4, 2026Zhifu Wei, Yizhou Dang, Guibing Guo +2Recommender SystemsSequential Recommendation

    Northeastern University, Shenyang, China · Tianjin University, Tianjin, China · Singapore University of Technology and Design, Singapore, Singapore

  21. Aligning Recommendations with User Popularity Preferences

    Apr 1, 2026Mona Schirmer, Anton Thielmann, Pola Schwöbel +4Popularity BiasPopularity Bias in Recommender Systems

    University of Amsterdam, Amsterdam, Netherlands · Amazon Music, Berlin, Germany · Amazon Music, Seattle, USA

  22. Reasoning over Semantic IDs Enhances Generative Recommendation

    Mar 24, 2026Yingzhi He, Yan Sun, Junfei Tan +6Large Language Model-Based RecommendationGenerative Recommendation

    National University of Singapore Singapore, Singapore · University of Science and Technology of China Hefei, China · Tencent Inc. Shenzhen, China

  23. One Model, Two Markets: Bid-Aware Generative Recommendation

    Mar 23, 2026Yanchen Jiang, Zhe Feng, Christopher P. Mah +2Recommender SystemsGenerative Recommendation

    Harvard University · Work done during an internship at Google Research · Google Research

  24. MISApp: Multi-Hop Intent-Aware Session Graph Learning for Next App Prediction

    Mar 23, 2026Yunchi Yang, Longlong Li, Jianliang Wu +1Sequential RecommendationRecommender Systems

    School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore 637371, Singapore · School of Mathematics, Shandong University, Jinan 250100, China · Data Science Institute, Shandong University, Jinan 250100, China

  25. GenRecEdit: Adapting Model Editing for Generative Recommendation with Cold-Start Items

    Mar 15, 2026Chenglei Shen, Teng Shi, Weijie Yu +2Generative RecommendationCold-Start Recommendation

    Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China · School of Information Technology and Management, University of International Business and Economics, Beijing, China

  26. R3-REC: Reasoning-Driven Recommendation via Retrieval-Augmented LLMs over Multi-Granular Interest Signals

    Mar 14, 2026Yuchen Miao, Mingxuan Cui, Yitong Zhu +2Recommender SystemsSequential Recommendation

    Sydney Smart Technology College, Northeastern University, China

  27. Modeling Stage-wise Evolution of User Interests for News Recommendation

    Mar 11, 2026Zhiyong Cheng, Yike Jin, Zhijie Zhang +3Recommender SystemsUser Preference Modeling

    The School of Computer Science and Information Engineering, Hefei University of Technology, Anhui, China · Institute of Artificial intelligence, Hefei Comprehensive National Science Center, Anhui, China

  28. Beyond Interleaving: Causal Attention Reformulations for Generative Recommender Systems

    Mar 11, 2026Hailing ChengCausal AttentionGenerative Recommendation

    Linkedin Inc Mountain View, California, USA

  29. Debiasing Sequential Recommendation with Time-aware Inverse Propensity Scoring

    Mar 5, 2026Sirui Huang, Jing Long, Qian Li +2Exposure BiasSequential Recommendation

    Hong Kong Polytechinic University Hong Kong SAR, China · University of Technology Sydney Sydney, Australia · Curtin University Perth, Australia +1

  30. DisenReason: Behavior Disentanglement and Latent Reasoning for Shared-Account Sequential Recommendation

    Mar 4, 2026Jiawei Cheng, Min Gao, Zongwei Wang +5Sequential Recommendation

    School of Big Data and Software Engineering, Chongqing University, Chongqing, 401331, China · College of Computer Science and Engineering, Chongqing University of Technology, Chongqing, 401135, China · School of Computing and Mathematical Sciences, University of Leicester, Leicester, 401135, United Kingdom +2