Sequential Recommendation

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7 papers in the last four weeks, level with the four weeks before. 0.1% of all new papers.

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RecRec: Recursive Refinement for Sequential Recommendation
Jul 12, 2026Pervez Shaik, Prosenjit Biswas, Abhinav Thorat +2Sequential Recommendation Iterative Refinement
Sony Research India India
Bumblebee: Interleaved Mixed-Layer Building Blocks for Large-Scale Recommendation Systems
Jul 6, 2026David Bauer, Cancan Zhang, Wenshun Liu +13Sequential Recommendation Feature Interaction Modeling
Meta
CMSL: Constructive Multi-Sequence Learning for Recommendation Systems
Jun 26, 2026Zikun Cui, Renzhi Wu, Junjie Yang +10Sequential Recommendation Disentangled Representation Learning
Meta MRS · Meta PyTorch · Meta FB Monetization
From Clicks to Intent: Cross-Platform Session Embeddings with LLM-Distilled Taxonomy for Financial Services Recommendations
Jun 24, 2026Dianjing Fan, Yao Li, Kyaw Hpone Myint +4Sequential Recommendation Representation Learning
Capital One McLean, VA, USA
The Pitfall of Scaling Up: Uncovering and Mitigating Popularity Bias Amplification in Scaling Transformer-based Recommenders
Jun 20, 2026Weiqin Yang, Yue Pan, Chongming Gao +4Spectral Regularization Sequential Recommendation
Zhejiang University · State Key Laboratory of Blockchain and Data Security, Zhejiang University · College of Computer Science and Technology, Zhejiang University +2
Structuring and Tokenizing Distributed User Interest Context for Generative Recommendation
Jun 18, 2026Ruizhong Qiu, Yinglong Xia, Dongqi Fu +6Sequential Recommendation User Modeling
University of Illinois Urbana–Champaign · 2Meta MRS
SAERec: Constructing Fine-grained Interpretable Intents Priors via Sparse Autoencoders for Recommendation
Jun 17, 2026Jiangnan Xia, Xuansheng Wu, Yu Yang +2Sequential Recommendation Recommender Systems
University of Georgia United States · Shanghai AI Laboratory China · The Education University of Hong Kong Hong Kong +2
On the Memorization Behavior of LLMs in Generative Recommendation: Observations, Implications, and Training Strategies
Jun 15, 2026Sunwoo Kim, Sunkyung Lee, Clark Mingxuan Ju +5Sequential Recommendation Memorization in Language Models
1KAIST · 2Sungkyunkwan University · 3Snap Inc.
ChronoID: Infusing Explicit Temporal Signals into Semantic IDs for Generative Recommendation
Jun 12, 2026Dongdong Nian, Dongqi Fu, Chenliang Xu +4Semantic ID Recommendation Sequential Recommendation
University of Rochester · Meta MRS · MBZUAI
Generative Archetype-Grounded Item Representations for Sequential Recommendation
Jun 9, 2026Yifan Li, Jiahong Liu, Xinni Zhang +5Sequential Recommendation Representation Learning
The Chinese University of Hong Kong Hong Kong SAR, China · McGill University Montreal, Canada · Tongji University Shanghai, China
Think Before You Act: Intention-Guided Reasoning for LLM-Based Location Prediction
Jun 6, 2026Qingxiang Liu, Anqi Liang, Zhuoyang Jiang +5Sequential Recommendation User Modeling
The Hong Kong University of Science and Technology (Guangzhou) China · Shanghai Jiao Tong University China · The Hong Kong University of Science and Technology Hong Kong +2
TRACER: Token ReAssignment for Concept ERasure in Generative Recommendation
Jun 5, 2026Ziheng Chen, Jiali Cheng, Zezhong Fan +4Sequential Recommendation Concept Erasure
Stony Brook University · University of Massachusetts Lowell · Columbia University +3
OneReason Technical Report
Jun 4, 2026OneRec Team, Biao Yang, Boyang Ding +81Sequential Recommendation CoT Reasoning
SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks
Jun 3, 2026Zhuang Zhuang, Zhipeng Wei, Ji Dai +4Memory-Augmented Neural Networks Sequential Recommendation
Kuaishou Technology, Beijing, China · Beijing University of Posts and Telecommunications, Beijing, China · Independent Researcher
BAHSD: Bridging the Long-tail Gap via Adaptive Distillation in Black-box Sequential Recommendation
Jun 2, 2026Xi Zhou, Famin Wu, Mingming Li +4Sequential Recommendation Long-Tail Learning
Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China · School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China · Beijing Institute for General Artificial Intelligence, Beijing, China
Time-Aware Diffusion based on Preference Disentanglement for Generative Recommendation
Jun 1, 2026Bangguo Zhu, Peng Huo, Yuanbo Zhao +3Sequential Recommendation Recommender Systems
Central South University Changsha, China · National Super Computing Center Tianjin, China · Renmin University of China Beijing, China +1
UniPinRec: Unifying Generative Retrieval and Ranking at Pinterest Scale
May 29, 2026Hanyu Li, Yi-Ping Hsu, Aditya Mantha +17Sequential Recommendation Learning to Rank
Pinterest
Multimodal Music Recommendation System using LLMs
May 28, 2026Srikar Prabhas Kandagatla, Sreehitha R. Narayana, Chandana Magapu +6Sequential Recommendation Recommender Systems
University of Massachusetts Amherst, Massachusetts, USA · Dolby Laboratories Atlanta, Georgia, USA · Adobe Research San Jose, California, USA +2
STAP: A Shuffle-Tokenized App Predictor with Ultra Long Context for Vocabulary-Free Mobile App Prediction
May 28, 2026Chengyu Fan, Hang LiuZero-Shot Learning Sequential Recommendation
School of Nuclear Science and Technology, University of Science and Technology of China, 96 Jinzhai Road, Hefei, 230026, Anhui, China · Department of Statistics and Finance, University of Science and Technology of China, 96 Jinzhai Road, Hefei, 230026, Anhui, China
BuddyBench: A Privacy-Constrained Multi-Task Benchmark for Pediatric Social-Communication Personalization
May 27, 2026Jeyeon Eo, Joo Young Kim, Ran Ju +2Sequential Recommendation Healthcare
1Independent Researcher, Seoul, Republic of Korea · 2Neudive Inc., Daegu, Republic of Korea · 3Korea University, Sejong, Republic of Korea
An Interpretable CF-RL-TOPSIS Fusion Model for Skills-Aware Talent Recommendation
May 22, 2026Özkan CanaySequential Recommendation Multi-Criteria Decision Analysis
aSakarya University, Department of Information Systems and Technologies, Faculty of Computer and Information Sciences, Sakarya, Türkiye
Why Users Go There: World Knowledge-Augmented Generative Next POI Recommendation
May 12, 2026Qiuyu Ding, Heng-Da Xu, Wei Zhang +4Sequential Recommendation Knowledge Augmentation for Language Models
Amap, Alibaba Group · Xi’an Jiaotong University
UxSID: Semantic-Aware User Interests Modeling for Ultra-Long Sequence
May 9, 2026Hongwei Zhang, Qiqiang Zhong, Jiangxia Cao +8Semantic ID Recommendation Sequential Recommendation
Kuaishou Technology, Beijing, China
An Embarrassingly Simple Graph Heuristic Reveals Shortcut-Solvable Benchmarks for Sequential Recommendation
May 8, 2026Haoyu Han, Li Ma, Hanbing Wang +9Sequential Recommendation Benchmark Design
Michigan State University · Airbnb, Inc.
Bridging Textual Profiles and Latent User Embeddings for Personalization
May 7, 2026Zhaoxuan Tan, Xiang Zhai, Yan Zhu +2Sequential Recommendation Recommender Systems
University of Notre Dame · 2Google · * This work was done while Zhaoxuan was a student researcher at Google.
Rethinking Convolutional Networks for Attribute-Aware Sequential Recommendation
May 6, 2026Shereen Elsayed, Ngoc Son Le, Ahmed Rashed +1Sequential Recommendation Convolutional Neural Networks
Information Systems and Machine Learning Lab (ISMLL), University of Hildesheim, Germany · VWFS Data Analytics Research Center (VWFS DARC), University of Hildesheim, Germany · Volkswagen Financial Services AG, Germany
Beyond Item IDs: Scaling Short-Form-Video Recommendation via Semantic-Native Long Sequence Modeling
May 4, 2026Ruixiao Sun, Diego Uribe Mora, Zhimeng Jiang +7Semantic ID Recommendation Sequential Recommendation
Google Mountain View, USA
FEDIN: Frequency-Enhanced Deep Interest Network for Click-Through Rate Prediction
May 3, 2026Zenan Dai, Jinpeng Wang, Junwei Pan +3Sequential Recommendation Frequency-Domain Feature Learning
Tsinghua University Shenzhen, China · Harbin Institute of Technology, Shenzhen Shenzhen, China · Tencent Shenzhen, China
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 Recommendation LLM Prompting
MATRA Lab Department of Computer Science and Engineering Indian Institute of Technology Bhilai Chhattisgarh, India 491002
Action-Aware Generative Sequence Modeling for Short Video Recommendation
Apr 28, 2026Wenhao Li, Zihan Lin, Zhengxiao Guo +7Sequential Recommendation User Preference Modeling
Kuaishou Inc. · Beijing, China · Unaffiliated +2

Jul 12, 2026, cs.IRJ/K move · Enter open · S save

RecRec: Recursive Refinement for Sequential Recommendation

Pervez Shaik, Prosenjit Biswas, Abhinav Thorat, Ravi Kolla+1

Sony Research India India

Sequential Recommendation Iterative Refinement User Preference Modeling Sequence Modeling

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Sequential recommender systems typically infer user preferences through single-pass encoding of interaction histories without iterative refinement, relying on increasingly deep architectures to capture complex patterns. In this work, we revisit sequential recommendation from a recursive inference perspective: can user preferences be modeled as a persistent latent state that is recursively refined? We propose RecRec (Recursive Recommendation), a lightweight model that maintains a compact latent state and updates it through a shared recursive module conditioned on interaction evidence. Unlike prior recursive models, RecRec introduces an evidence-anchored correction mechanism that stabilizes refinement by grounding each update in the original interaction context, preventing semantic drift during deep recursive reasoning. Experiments on three benchmark datasets under standard evaluation protocols show that RecRec matches or outperforms state-of-the-art sequential, graph-based, and reasoning-enhanced recommenders while using only 3.9M to 14M parameters. Ablation studies demonstrate that both recursive refinement and the evidence-anchored correction gate contribute significantly to performance, highlighting the effectiveness of recursive latent inference as a scalable alternative to deeper or language-based architectures. Code is available at https://anonymous.4open.science/r/RecRec-6B67/README.md.

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