{"total":21,"rows":[{"id":"2406.12529","title":"LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation","created":"2024-06-18","cited_by_count":19,"area":null},{"id":"2403.00793","title":"Ads Recommendation in a Collapsed and Entangled World","created":"2024-02-22","cited_by_count":13,"area":null},{"id":"2310.19453","title":"FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction","created":"2023-10-30","cited_by_count":11,"area":null},{"id":"2412.18241","title":"An Automatic Graph Construction Framework based on Large Language Models for Recommendation","created":"2024-12-24","cited_by_count":9,"area":null},{"id":"2405.13902","title":"LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework","created":"2024-05-22","cited_by_count":8,"area":null},{"id":"2503.00501","title":"Qilin: A Multimodal Information Retrieval Dataset with APP-level User Sessions","created":"2025-03-01","cited_by_count":4,"area":null},{"id":"2505.14057","title":"Field Matters: A Lightweight LLM-enhanced Method for CTR Prediction","created":"2025-05-20","cited_by_count":4,"area":null},{"id":"2406.02368","title":"Large Language Models Make Sample-Efficient Recommender Systems","created":"2024-06-04","cited_by_count":3,"area":null},{"id":"2412.06860","title":"Balancing Efficiency and Effectiveness: An LLM-Infused Approach for Optimized CTR Prediction","created":"2024-12-09","cited_by_count":3,"area":null},{"id":"2406.00011","title":"DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation","created":"2024-05-20","cited_by_count":2,"area":null},{"id":"2406.01363","title":"Privacy in LLM-based Recommendation: Recent Advances and Future Directions","created":"2024-06-03","cited_by_count":2,"area":null},{"id":"2506.11999","title":"Generative Representational Learning of Foundation Models for Recommendation","created":"2025-06-13","cited_by_count":2,"area":null},{"id":"2509.03131","title":"RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation","created":"2025-09-03","cited_by_count":2,"area":null},{"id":"2603.00416","title":"MuonRec: Shifting the Optimizer Paradigm Beyond Adam in Scalable Generative Recommendation","created":"2026-02-28","cited_by_count":2,"area":null},{"id":"2411.13057","title":"Learning Multi-Branch Cooperation for Enhanced Click-Through Rate Prediction at Taobao","created":"2024-11-20","cited_by_count":1,"area":null},{"id":"2503.14813","title":"Scaled Supervision is an Implicit Lipschitz Regularizer","created":"2025-03-19","cited_by_count":1,"area":null},{"id":"2505.13492","title":"LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis","created":"2025-05-14","cited_by_count":1,"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":"2508.01514","title":"End-to-End Personalization: Unifying Recommender Systems with Large Language Models","created":"2025-08-02","cited_by_count":0,"area":null},{"id":"2512.01171","title":"Conversion rate prediction in online advertising: modeling techniques, performance evaluation and future directions","created":"2025-12-01","cited_by_count":0,"area":null},{"id":"2604.18146","title":"Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations","created":"2026-04-20","cited_by_count":0,"area":null}],"next_cursor":null}