{"total":120,"rows":[{"id":"2102.04095","title":"STAN: Spatio-Temporal Attention Network for Next Location Recommendation","created":"2021-02-08","cited_by_count":102,"area":null},{"id":"2202.13556","title":"Filter-enhanced MLP is All You Need for Sequential Recommendation","created":"2022-02-28","cited_by_count":96,"area":null},{"id":"2310.20453","title":"Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion","created":"2023-10-31","cited_by_count":74,"area":"diffusion"},{"id":"2104.13030","title":"A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation","created":"2021-04-27","cited_by_count":59,"area":null},{"id":"2205.04507","title":"PinnerFormer: Sequence Modeling for User Representation at Pinterest","created":"2022-05-09","cited_by_count":57,"area":null},{"id":"2503.22675","title":"Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation","created":"2025-03-28","cited_by_count":51,"area":null},{"id":"2404.11343","title":"Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System","created":"2024-04-17","cited_by_count":50,"area":null},{"id":"2108.04468","title":"End-to-End User Behavior Retrieval in Click-Through RatePrediction Model","created":"2021-08-10","cited_by_count":45,"area":null},{"id":"2308.11175","title":"MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation","created":"2023-08-22","cited_by_count":31,"area":null},{"id":"2204.11046","title":"Decoupled Side Information Fusion for Sequential Recommendation","created":"2022-04-23","cited_by_count":30,"area":null},{"id":"2308.07192","title":"gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling","created":"2023-08-14","cited_by_count":29,"area":null},{"id":"2302.11087","title":"A Survey on User Behavior Modeling in Recommender Systems","created":"2023-02-22","cited_by_count":26,"area":null},{"id":"2303.06337","title":"AutoMLP: Automated MLP for Sequential Recommendations","created":"2023-03-11","cited_by_count":25,"area":null},{"id":"2207.07483","title":"A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation","created":"2022-07-15","cited_by_count":22,"area":null},{"id":"2304.08382","title":"MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation","created":"2023-04-17","cited_by_count":18,"area":null},{"id":"2310.00678","title":"A General Offline Reinforcement Learning Framework for Interactive Recommendation","created":"2023-10-01","cited_by_count":18,"area":"offlinerl"},{"id":"2102.09269","title":"Dynamic Memory based Attention Network for Sequential Recommendation","created":"2021-02-18","cited_by_count":16,"area":null},{"id":"2101.12457","title":"RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation","created":"2021-01-29","cited_by_count":15,"area":null},{"id":"2110.15097","title":"Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning","created":"2021-10-28","cited_by_count":14,"area":null},{"id":"2207.02643","title":"Effective and Efficient Training for Sequential Recommendation using Recency Sampling","created":"2022-07-06","cited_by_count":13,"area":null},{"id":"2407.11245","title":"Pacer and Runner: Cooperative Learning Framework between Single- and Cross-Domain Sequential Recommendation","created":"2024-07-15","cited_by_count":13,"area":null},{"id":"2508.04618","title":"HiD-VAE: Interpretable Generative Recommendation via Hierarchical and Disentangled Semantic IDs","created":"2025-08-06","cited_by_count":12,"area":null},{"id":"2308.14029","title":"Text Matching Improves Sequential Recommendation by Reducing Popularity Biases","created":"2023-08-27","cited_by_count":10,"area":null},{"id":"2408.11451","title":"SIGMA: Selective Gated Mamba for Sequential Recommendation","created":"2024-08-21","cited_by_count":10,"area":"ssm"},{"id":"2202.08959","title":"Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced Recommendation","created":"2022-02-05","cited_by_count":9,"area":null},{"id":"2205.00313","title":"FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings","created":"2022-04-30","cited_by_count":9,"area":null},{"id":"2212.11431","title":"Local Policy Improvement for Recommender Systems","created":"2022-12-22","cited_by_count":9,"area":null},{"id":"2308.08487","title":"Temporal Interest Network for User Response Prediction","created":"2023-08-15","cited_by_count":9,"area":null},{"id":"2402.15164","title":"EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems","created":"2024-02-23","cited_by_count":9,"area":"deeprl"},{"id":"2111.03474","title":"Supervised Advantage Actor-Critic for Recommender Systems","created":"2021-11-05","cited_by_count":8,"area":null},{"id":"2204.01839","title":"Coarse-to-Fine Sparse Sequential Recommendation","created":"2022-04-04","cited_by_count":8,"area":null},{"id":"2310.17488","title":"LightLM: A Lightweight Deep and Narrow Language Model for Generative Recommendation","created":"2023-10-26","cited_by_count":8,"area":null},{"id":"2409.09253","title":"Unleash LLMs Potential for Sequential Recommendation by Coordinating Dual Dynamic Index Mechanism","created":"2024-09-14","cited_by_count":8,"area":"lr"},{"id":"2410.21967","title":"Dual Conditional Diffusion Models for Sequential Recommendation","created":"2024-10-29","cited_by_count":8,"area":"diffusion"},{"id":"2502.13909","title":"Lost in Sequence: Do Large Language Models Understand Sequential Recommendation?","created":"2025-02-19","cited_by_count":8,"area":null},{"id":"2106.14031","title":"Improving Sequential Recommendation Consistency with Self-Supervised Imitation","created":"2021-06-26","cited_by_count":7,"area":null},{"id":"2107.05124","title":"Transformers with multi-modal features and post-fusion context for e-commerce session-based recommendation","created":"2021-07-11","cited_by_count":7,"area":null},{"id":"2204.11562","title":"Determinantal Point Process Likelihoods for Sequential Recommendation","created":"2022-04-25","cited_by_count":7,"area":null},{"id":"2304.04541","title":"Sequential Recommendation with Diffusion Models","created":"2023-04-10","cited_by_count":7,"area":"diffusion"},{"id":"2304.09061","title":"A Scalable Framework for Automatic Playlist Continuation on Music Streaming Services","created":"2023-04-12","cited_by_count":7,"area":null},{"id":"2306.01792","title":"Task Relation-aware Continual User Representation Learning","created":"2023-06-01","cited_by_count":7,"area":null},{"id":"2410.22790","title":"Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation","created":"2024-10-30","cited_by_count":7,"area":null},{"id":"2402.14230","title":"MerRec: A Large-scale Multipurpose Mercari Dataset for Consumer-to-Consumer Recommendation Systems","created":"2024-02-22","cited_by_count":6,"area":null},{"id":"2409.10522","title":"Bridging User Dynamics: Transforming Sequential Recommendations with Schr\\\"odinger Bridge and Diffusion Models","created":"2024-08-30","cited_by_count":6,"area":"diffusion"},{"id":"2410.11327","title":"Sequential LLM Framework for Fashion Recommendation","created":"2024-10-15","cited_by_count":6,"area":null},{"id":"2410.22013","title":"Modeling Temporal Positive and Negative Excitation for Sequential Recommendation","created":"2024-10-29","cited_by_count":6,"area":null},{"id":"2109.06037","title":"Correcting the User Feedback-Loop Bias for Recommendation Systems","created":"2021-09-13","cited_by_count":5,"area":null},{"id":"2211.09832","title":"Latent User Intent Modeling for Sequential Recommenders","created":"2022-11-17","cited_by_count":5,"area":null},{"id":"2401.06633","title":"Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations","created":"2024-01-12","cited_by_count":5,"area":null},{"id":"2512.16891","title":"LinkedOut: Linking World Knowledge Representation Out of Video LLM for Next-Generation Video Recommendation","created":"2025-12-18","cited_by_count":5,"area":null},{"id":"2110.07923","title":"Value Penalized Q-Learning for Recommender Systems","created":"2021-10-15","cited_by_count":4,"area":"offlinerl"},{"id":"2311.07619","title":"Modeling User Viewing Flow Using Large Language Models for Article Recommendation","created":"2023-11-12","cited_by_count":4,"area":null},{"id":"2312.14447","title":"On the Effectiveness of Unlearning in Session-Based Recommendation","created":"2023-12-22","cited_by_count":4,"area":null},{"id":"2405.10436","title":"Positional encoding is not the same as context: A study on positional encoding for sequential recommendation","created":"2024-05-16","cited_by_count":4,"area":null},{"id":"2107.07173","title":"Scene-adaptive Knowledge Distillation for Sequential Recommendation via Differentiable Architecture Search","created":"2021-07-15","cited_by_count":3,"area":"distill"},{"id":"2201.11016","title":"Recency Dropout for Recurrent Recommender Systems","created":"2022-01-26","cited_by_count":3,"area":null},{"id":"2208.04022","title":"Sparse Attentive Memory Network for Click-through Rate Prediction with Long Sequences","created":"2022-08-08","cited_by_count":3,"area":null},{"id":"2208.04600","title":"IDNP: Interest Dynamics Modeling using Generative Neural Processes for Sequential Recommendation","created":"2022-08-09","cited_by_count":3,"area":null},{"id":"2301.12197","title":"Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation","created":"2023-01-28","cited_by_count":3,"area":null},{"id":"2308.02925","title":"ConvFormer: Revisiting Transformer for Sequential User Modeling","created":"2023-08-05","cited_by_count":3,"area":null},{"id":"2409.17436","title":"Minimizing Live Experiments in Recommender Systems: User Simulation to Evaluate Preference Elicitation Policies","created":"2024-09-26","cited_by_count":3,"area":null},{"id":"2501.02837","title":"Forward Once for All: Structural Parameterized Adaptation for Efficient Cloud-coordinated On-device Recommendation","created":"2025-01-06","cited_by_count":3,"area":null},{"id":"2606.28357","title":"ReasonRec: A Reasoning-Augmented Multimodal Agent for Unified Recommendation","created":"2026-06-08","cited_by_count":3,"area":"agents"},{"id":"2607.29241","title":"RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems","created":"2026-07-31","cited_by_count":3,"area":"agents"},{"id":"2211.10002","title":"Influential Recommender System","created":"2022-11-18","cited_by_count":2,"area":null},{"id":"2310.09706","title":"AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking","created":"2023-10-15","cited_by_count":2,"area":null},{"id":"2404.07219","title":"Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation","created":"2024-03-22","cited_by_count":2,"area":"distill"},{"id":"2410.02791","title":"DifFaiRec: Generative Fair Recommender with Conditional Diffusion Model","created":"2024-09-18","cited_by_count":2,"area":null},{"id":"2602.15259","title":"Knowing Isn't Understanding: Re-grounding Generative Proactivity with Epistemic and Behavioral Insight","created":"2026-02-16","cited_by_count":2,"area":null},{"id":"2101.02655","title":"Metric Learning for Session-based Recommendations","created":"2021-01-07","cited_by_count":1,"area":null},{"id":"2202.09502","title":"Graph Spring Network and Informative Anchor Selection for Session-based Recommendation","created":"2022-02-19","cited_by_count":1,"area":null},{"id":"2305.14675","title":"TriMLP: Revenge of a MLP-like Architecture in Sequential Recommendation","created":"2023-05-24","cited_by_count":1,"area":null},{"id":"2306.11986","title":"Sequential Recommendation with Controllable Diversification: Representation Degeneration and Diversity","created":"2023-06-21","cited_by_count":1,"area":null},{"id":"2309.11623","title":"Leveraging Negative Signals with Self-Attention for Sequential Music Recommendation","created":"2023-09-20","cited_by_count":1,"area":null},{"id":"2309.12218","title":"SR-PredictAO: Session-based Recommendation with High-Capability Predictor Add-On","created":"2023-09-20","cited_by_count":1,"area":null},{"id":"2310.16566","title":"Model-enhanced Contrastive Reinforcement Learning for Sequential Recommendation","created":"2023-10-25","cited_by_count":1,"area":"offlinerl"},{"id":"2402.12733","title":"BMLP: Behavior-aware MLP for Heterogeneous Sequential Recommendation","created":"2024-02-20","cited_by_count":1,"area":null},{"id":"2404.15678","title":"Retrieval and Distill: A Temporal Data Shift-Free Paradigm for Online Recommendation System","created":"2024-04-24","cited_by_count":1,"area":null},{"id":"2408.02156","title":"Calibration-Disentangled Learning and Relevance-Prioritized Reranking for Calibrated Sequential Recommendation","created":"2024-08-04","cited_by_count":1,"area":null},{"id":"2409.01605","title":"Laser: Parameter-Efficient LLM Bi-Tuning for Sequential Recommendation with Collaborative Information","created":"2024-09-03","cited_by_count":1,"area":null},{"id":"2504.16501","title":"Dynamic Time-aware Continual User Representation Learning","created":"2025-04-23","cited_by_count":1,"area":null},{"id":"2506.19777","title":"Alleviating User-Sensitive bias with Fair Generative Sequential Recommendation Model","created":"2025-06-24","cited_by_count":1,"area":null},{"id":"2510.05125","title":"Catalog-Native LLM: Speaking Item-ID Dialect with Less Entanglement for Recommendation","created":"2025-09-30","cited_by_count":1,"area":"lr"},{"id":"2601.02364","title":"Towards Trustworthy LLM-Based Recommendation via Rationale Integration","created":"2025-11-07","cited_by_count":1,"area":null},{"id":"2602.05544","title":"Reasoning-guided Collaborative Filtering with Language Models for Explainable Recommendation","created":"2026-02-05","cited_by_count":1,"area":"lr"},{"id":"2607.23762","title":"Escaping the Euclidean Void: Manifold-Informed Flow Matching for Sequential Recommendation","created":"2026-07-26","cited_by_count":1,"area":"diffusion"},{"id":"2609.12270","title":"Recommendation Retrievers Need Verifiers: Universal Generative Reranking for Sequential Recommendations","created":"2026-09-10","cited_by_count":1,"area":null},{"id":"2110.15667","title":"QDCNN: Quantum Dilated Convolutional Neural Network","created":"2021-10-29","cited_by_count":0,"area":null},{"id":"2210.10547","title":"Hierarchical Multi-Interest Co-Network For Coarse-Grained Ranking","created":"2022-10-19","cited_by_count":0,"area":null},{"id":"2302.02579","title":"Recommender Systems: A Primer","created":"2023-02-06","cited_by_count":0,"area":null},{"id":"2305.18820","title":"Robust Reinforcement Learning Objectives for Sequential Recommender Systems","created":"2023-05-30","cited_by_count":0,"area":null},{"id":"2307.13766","title":"ClusterSeq: Enhancing Sequential Recommender Systems with Clustering based Meta-Learning","created":"2023-07-25","cited_by_count":0,"area":null},{"id":"2312.15851","title":"Hypergraph Enhanced Knowledge Tree Prompt Learning for Next-Basket Recommendation","created":"2023-12-26","cited_by_count":0,"area":null},{"id":"2406.17745","title":"Light-weight End-to-End Graph Interest Network for CTR Prediction in E-commerce Search","created":"2024-06-25","cited_by_count":0,"area":null},{"id":"2408.15953","title":"Modeling and Analyzing the Influence of Non-Item Pages on Sequential Next-Item Prediction","created":"2024-08-28","cited_by_count":0,"area":null},{"id":"2409.02702","title":"Incorporating Like-Minded Peers to Overcome Friend Data Sparsity in Session-Based Social Recommendations","created":"2024-09-04","cited_by_count":0,"area":null},{"id":"2409.08733","title":"Multi-intent Aware Contrastive Learning for Sequential Recommendation","created":"2024-09-13","cited_by_count":0,"area":null},{"id":"2409.14810","title":"Pre-trained Language Model and Knowledge Distillation for Lightweight Sequential Recommendation","created":"2024-09-23","cited_by_count":0,"area":"distill"},{"id":"2502.04899","title":"Towards Unified Approaches in Self-Supervised Event Stream Modeling: Progress and Prospects","created":"2025-02-07","cited_by_count":0,"area":null},{"id":"2502.15724","title":"Instruction-Based Fine-tuning of Open-Source LLMs for Predicting Customer Purchase Behaviors","created":"2025-01-28","cited_by_count":0,"area":null}],"next_cursor":"100"}