{"total":41,"rows":[{"id":"2310.20081","title":"Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models","created":"2023-10-30","cited_by_count":45,"area":null},{"id":"2407.16357","title":"TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou","created":"2024-07-23","cited_by_count":30,"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":"2205.10249","title":"Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR Prediction","created":"2022-05-20","cited_by_count":24,"area":null},{"id":"2402.02820","title":"Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective","created":"2024-02-05","cited_by_count":24,"area":null},{"id":"2308.08487","title":"Temporal Interest Network for User Response Prediction","created":"2023-08-15","cited_by_count":9,"area":null},{"id":"2302.03487","title":"PIER: Permutation-Level Interest-Based End-to-End Re-ranking Framework in E-commerce","created":"2023-02-06","cited_by_count":8,"area":null},{"id":"2410.02604","title":"Long-Sequence Recommendation Models Need Decoupled Embeddings","created":"2024-10-03","cited_by_count":7,"area":null},{"id":"2512.07216","title":"MUSE: A Simple Yet Effective Multimodal Search-Based Framework for Lifelong User Interest Modeling","created":"2025-12-08","cited_by_count":6,"area":null},{"id":"2211.12033","title":"BASM: A Bottom-up Adaptive Spatiotemporal Model for Online Food Ordering Service","created":"2022-11-22","cited_by_count":5,"area":null},{"id":"2502.06097","title":"NLGR: Utilizing Neighbor Lists for Generative Rerank in Personalized Recommendation Systems","created":"2025-02-10","cited_by_count":5,"area":null},{"id":"2508.21460","title":"Diffusion-based Multi-modal Synergy Interest Network for Click-through Rate Prediction","created":"2025-08-29","cited_by_count":4,"area":null},{"id":"2602.18283","title":"HyTRec: A Hybrid Temporal-Aware Attention Architecture for Long Behavior Sequential Recommendation","created":"2026-02-20","cited_by_count":4,"area":null},{"id":"2307.09193","title":"ESMC: Entire Space Multi-Task Model for Post-Click Conversion Rate via Parameter Constraint","created":"2023-07-18","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":"2308.08483","title":"TBIN: Modeling Long Textual Behavior Data for CTR Prediction","created":"2023-08-09","cited_by_count":3,"area":null},{"id":"2308.15703","title":"Fragment and Integrate Network (FIN): A Novel Spatial-Temporal Modeling Based on Long Sequential Behavior for Online Food Ordering Click-Through Rate Prediction","created":"2023-08-30","cited_by_count":3,"area":null},{"id":"2502.10157","title":"SessionRec: Next Session Prediction Paradigm For Generative Sequential Recommendation","created":"2025-02-14","cited_by_count":3,"area":null},{"id":"2505.16752","title":"Action is All You Need: Dual-Flow Generative Ranking Network for Recommendation","created":"2025-05-22","cited_by_count":3,"area":null},{"id":"2210.15154","title":"AutoAttention: Automatic Field Pair Selection for Attention in User Behavior Modeling","created":"2022-10-27","cited_by_count":2,"area":null},{"id":"2405.15521","title":"A Preference-oriented Diversity Model Based on Mutual-information in Re-ranking for E-commerce Search","created":"2024-05-24","cited_by_count":2,"area":null},{"id":"2501.14268","title":"Pre-train and Fine-tune: Recommenders as Large Models","created":"2025-01-24","cited_by_count":2,"area":null},{"id":"2509.16931","title":"Equip Pre-ranking with Target Attention by Residual Quantization","created":"2025-09-21","cited_by_count":2,"area":null},{"id":"2601.01712","title":"RelayGR: Scaling Long-Sequence Generative Recommendation via Cross-Stage Relay-Race Inference","created":"2026-01-05","cited_by_count":2,"area":null},{"id":"2603.10369","title":"Beyond Interleaving: Causal Attention Reformulations for Generative Recommender Systems","created":"2026-03-11","cited_by_count":2,"area":null},{"id":"2404.18304","title":"Retrieval-Oriented Knowledge for Click-Through Rate Prediction","created":"2024-04-28","cited_by_count":1,"area":null},{"id":"2507.11246","title":"Generative Click-through Rate Prediction with Applications to Search Advertising","created":"2025-07-15","cited_by_count":1,"area":null},{"id":"2508.14515","title":"MISS: Multi-Modal Tree Indexing and Searching with Lifelong Sequential Behavior for Retrieval Recommendation","created":"2025-08-20","cited_by_count":1,"area":null},{"id":"2511.21095","title":"Target-Aware Early Stage Ranking","created":"2025-11-26","cited_by_count":1,"area":null},{"id":"2608.16797","title":"UniDot: A Unified Network for Sequence Modeling and Feature Interaction in Large-scale Recommendation","created":"2026-08-17","cited_by_count":1,"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":"2302.00302","title":"A Deep Behavior Path Matching Network for Click-Through Rate Prediction","created":"2023-02-01","cited_by_count":0,"area":null},{"id":"2310.09593","title":"Context-aware Session-based Recommendation with Graph Neural Networks","created":"2023-10-14","cited_by_count":0,"area":null},{"id":"2501.13344","title":"Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","created":"2025-01-23","cited_by_count":0,"area":null},{"id":"2507.05142","title":"GIST: Cross-Domain Click-Through Rate Prediction via Guided Content-Behavior Distillation","created":"2025-07-07","cited_by_count":0,"area":null},{"id":"2601.20234","title":"MALLOC: Benchmarking the Memory-aware Long Sequence Compression for Large Sequential Recommendation","created":"2026-01-28","cited_by_count":0,"area":null},{"id":"2604.24806","title":"Versioned Late Materialization for Ultra-Long Sequence Training in Recommendation Systems at Scale","created":"2026-04-27","cited_by_count":0,"area":null},{"id":"2605.09040","title":"UxSID: Semantic-Aware User Interests Modeling for Ultra-Long Sequence","created":"2026-05-09","cited_by_count":0,"area":null},{"id":"2605.15905","title":"Generative Long-term User Interest Modeling for Click-Through Rate Prediction","created":"2026-05-15","cited_by_count":0,"area":null},{"id":"2607.27944","title":"Interpretable Representation via LLM-Driven Generative Disentanglement for Local-Life Service Recommendation","created":"2026-07-30","cited_by_count":0,"area":null},{"id":"2609.08443","title":"SequenceO1: End-to-End Ultra-Long (100K) Sequence Modeling in Recommendation with Low-Rank Caching","created":"2026-09-08","cited_by_count":0,"area":null}],"next_cursor":null}