{"total":35,"rows":[{"id":"2202.02519","title":"Intent Contrastive Learning for Sequential Recommendation","created":"2022-02-05","cited_by_count":91,"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":"2102.09267","title":"Sparse-Interest Network for Sequential Recommendation","created":"2021-02-18","cited_by_count":38,"area":null},{"id":"2201.06035","title":"Sequential Recommendation via Stochastic Self-Attention","created":"2022-01-16","cited_by_count":37,"area":null},{"id":"2204.11046","title":"Decoupled Side Information Fusion for Sequential Recommendation","created":"2022-04-23","cited_by_count":30,"area":null},{"id":"2207.00422","title":"Personalized Showcases: Generating Multi-Modal Explanations for Recommendations","created":"2022-06-30","cited_by_count":30,"area":null},{"id":"2405.02429","title":"CALRec: Contrastive Alignment of Generative LLMs for Sequential Recommendation","created":"2024-05-03","cited_by_count":24,"area":null},{"id":"2106.06165","title":"Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation","created":"2021-06-11","cited_by_count":22,"area":null},{"id":"2305.04619","title":"Graph Masked Autoencoder for Sequential Recommendation","created":"2023-05-08","cited_by_count":19,"area":null},{"id":"2102.09269","title":"Dynamic Memory based Attention Network for Sequential Recommendation","created":"2021-02-18","cited_by_count":16,"area":null},{"id":"2502.02854","title":"TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation","created":"2025-02-05","cited_by_count":13,"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":"2311.02816","title":"APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation","created":"2023-11-06","cited_by_count":10,"area":null},{"id":"2401.05975","title":"End-to-end Learnable Clustering for Intent Learning in Recommendation","created":"2024-01-11","cited_by_count":10,"area":null},{"id":"2203.14037","title":"Data Augmentation Strategies for Improving Sequential Recommender Systems","created":"2022-03-26","cited_by_count":4,"area":null},{"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":"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":"2210.13572","title":"Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer","created":"2022-10-24","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":"2203.02056","title":"Symmetry Structured Convolutional Neural Networks","created":"2022-03-03","cited_by_count":2,"area":null},{"id":"2304.05492","title":"Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training","created":"2023-04-11","cited_by_count":2,"area":null},{"id":"2402.02718","title":"Denoising Time Cycle Modeling for Recommendation","created":"2024-02-05","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":"2306.11986","title":"Sequential Recommendation with Controllable Diversification: Representation Degeneration and Diversity","created":"2023-06-21","cited_by_count":1,"area":null},{"id":"2405.12473","title":"Learning Partially Aligned Item Representation for Cross-Domain Sequential Recommendation","created":"2024-05-21","cited_by_count":1,"area":null},{"id":"2408.09380","title":"ELASTIC: Efficient Linear Attention for Sequential Interest Compression","created":"2024-08-18","cited_by_count":1,"area":null},{"id":"2206.06804","title":"Recommender Transformers with Behavior Pathways","created":"2022-06-13","cited_by_count":0,"area":null},{"id":"2304.12549","title":"COUPA: An Industrial Recommender System for Online to Offline Service Platforms","created":"2023-04-25","cited_by_count":0,"area":null},{"id":"2506.23170","title":"Compositions of Variant Experts for Integrating Short-Term and Long-Term Preferences","created":"2025-06-29","cited_by_count":0,"area":null},{"id":"2510.04239","title":"Empowering Denoising Sequential Recommendation with Large Language Model Embeddings","created":"2025-10-05","cited_by_count":0,"area":null},{"id":"2510.25259","title":"TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation","created":"2025-10-29","cited_by_count":0,"area":null},{"id":"2604.09553","title":"SRBench: A Comprehensive Benchmark for Sequential Recommendation with Large Language Models","created":"2026-01-31","cited_by_count":0,"area":null},{"id":"2605.04723","title":"Rethinking Convolutional Networks for Attribute-Aware Sequential Recommendation","created":"2026-05-06","cited_by_count":0,"area":null},{"id":"2608.09580","title":"CoRCi: Cross-Reconstruction of Coherent Interests Modeling in Cross-Domain Sequential Recommendation","created":"2026-08-10","cited_by_count":0,"area":null},{"id":"2608.24176","title":"Tlow: Flow-based Item Tokenizer for Recommendation","created":"2026-08-25","cited_by_count":0,"area":null}],"next_cursor":null}