{"total":119,"rows":[{"id":"2402.17152","title":"Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations","created":"2024-02-27","cited_by_count":188,"area":null},{"id":"2310.15950","title":"Representation Learning with Large Language Models for Recommendation","created":"2023-10-24","cited_by_count":155,"area":null},{"id":"2306.05817","title":"How Can Recommender Systems Benefit from Large Language Models: A Survey","created":"2023-06-09","cited_by_count":142,"area":null},{"id":"2308.11131","title":"ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation","created":"2023-08-22","cited_by_count":77,"area":null},{"id":"2406.10471","title":"Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts","created":"2024-06-15","cited_by_count":74,"area":null},{"id":"2409.12740","title":"HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling","created":"2024-09-19","cited_by_count":63,"area":null},{"id":"2311.02089","title":"LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking","created":"2023-10-25","cited_by_count":53,"area":null},{"id":"2403.19021","title":"IDGenRec: LLM-RecSys Alignment with Textual ID Learning","created":"2024-03-27","cited_by_count":53,"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":"2402.08831","title":"eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data","created":"2024-02-13","cited_by_count":46,"area":null},{"id":"2503.02453","title":"Sparse Meets Dense: Unified Generative Recommendations with Cascaded Sparse-Dense Representations","created":"2025-03-04","cited_by_count":35,"area":null},{"id":"2310.09234","title":"ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction","created":"2023-10-13","cited_by_count":27,"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":"2403.19347","title":"Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors","created":"2024-03-28","cited_by_count":23,"area":null},{"id":"2405.03988","title":"LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application","created":"2024-05-07","cited_by_count":21,"area":null},{"id":"2410.20745","title":"Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models","created":"2024-10-28","cited_by_count":20,"area":null},{"id":"2401.11506","title":"Enhancing Recommendation Diversity by Re-ranking with Large Language Models","created":"2024-01-21","cited_by_count":19,"area":null},{"id":"2402.14836","title":"Stealthy Attack on Large Language Model based Recommendation","created":"2024-02-18","cited_by_count":19,"area":null},{"id":"2506.21579","title":"LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential Recommendation","created":"2025-06-16","cited_by_count":19,"area":null},{"id":"2411.18814","title":"Unifying Generative and Dense Retrieval for Sequential Recommendation","created":"2024-11-27","cited_by_count":18,"area":null},{"id":"2405.16363","title":"LLMs for User Interest Exploration in Large-scale Recommendation Systems","created":"2024-05-25","cited_by_count":15,"area":null},{"id":"2406.14043","title":"Taxonomy-Guided Zero-Shot Recommendations with LLMs","created":"2024-06-20","cited_by_count":15,"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":"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":"2410.23994","title":"Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model","created":"2024-10-31","cited_by_count":11,"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":"2405.12442","title":"Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation","created":"2024-05-21","cited_by_count":10,"area":null},{"id":"2408.08821","title":"EasyRec: Simple yet Effective Language Models for Recommendation","created":"2024-08-16","cited_by_count":10,"area":null},{"id":"2405.00988","title":"Context-Aware Clustering using Large Language Models","created":"2024-05-02","cited_by_count":9,"area":null},{"id":"2410.12228","title":"Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations","created":"2024-10-16","cited_by_count":9,"area":null},{"id":"2410.13117","title":"Preference Diffusion for Recommendation","created":"2024-10-17","cited_by_count":9,"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":"2404.12975","title":"FineRec:Exploring Fine-grained Sequential Recommendation","created":"2024-04-19","cited_by_count":8,"area":null},{"id":"2410.16458","title":"STAR: A Simple Training-free Approach for Recommendations using Large Language Models","created":"2024-10-21","cited_by_count":8,"area":null},{"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":"2504.10507","title":"PinRec: Unified Generative Retrieval for Pinterest Recommender Systems","created":"2025-04-09","cited_by_count":8,"area":null},{"id":"2507.12704","title":"PinFM: Foundation Model for User Activity Sequences at a Billion-scale Visual Discovery Platform","created":"2025-07-17","cited_by_count":8,"area":null},{"id":"2408.10645","title":"CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation","created":"2024-08-20","cited_by_count":7,"area":null},{"id":"2503.01814","title":"LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation","created":"2025-03-03","cited_by_count":7,"area":null},{"id":"2504.04405","title":"Universal Item Tokenization for Transferable Generative Recommendation","created":"2025-04-06","cited_by_count":7,"area":null},{"id":"2506.01673","title":"GRAM: Generative Recommendation via Semantic-aware Multi-granular Late Fusion","created":"2025-06-02","cited_by_count":7,"area":null},{"id":"2404.12969","title":"Disentangling ID and Modality Effects for Session-based Recommendation","created":"2024-04-19","cited_by_count":6,"area":null},{"id":"2410.11327","title":"Sequential LLM Framework for Fashion Recommendation","created":"2024-10-15","cited_by_count":6,"area":null},{"id":"2410.17337","title":"Captions Speak Louder than Images: Generalizing Foundation Models for E-commerce from High-quality Multimodal Instruction Data","created":"2024-10-22","cited_by_count":6,"area":null},{"id":"2412.08604","title":"Preference Discerning with LLM-Enhanced Generative Retrieval","created":"2024-12-11","cited_by_count":6,"area":null},{"id":"2501.19232","title":"LLM-RecG: A Semantic Bias-Aware Framework for Zero-Shot Sequential Recommendation","created":"2025-01-31","cited_by_count":6,"area":null},{"id":"2312.12750","title":"Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems","created":"2023-12-20","cited_by_count":5,"area":null},{"id":"2602.18907","title":"DeepInterestGR: Mining Deep Multi-Interest Using Multi-Modal LLMs for Generative Recommendation","created":"2026-02-21","cited_by_count":5,"area":null},{"id":"2409.05872","title":"CSRec: Rethinking Sequential Recommendation from A Causal Perspective","created":"2024-08-23","cited_by_count":4,"area":null},{"id":"2409.11699","title":"FLARE: Fusing Language Models and Collaborative Architectures for Recommender Enhancement","created":"2024-09-18","cited_by_count":4,"area":null},{"id":"2504.04400","title":"Pre-training Generative Recommender with Multi-Identifier Item Tokenization","created":"2025-04-06","cited_by_count":4,"area":null},{"id":"2504.08949","title":"Large Language Model Empowered Recommendation Meets All-domain Continual Pre-Training","created":"2025-04-11","cited_by_count":4,"area":null},{"id":"2602.00682","title":"RecGOAT: Graph Optimal Adaptive Transport for LLM-Enhanced Multimodal Recommendation with Dual Semantic Alignment","created":"2026-01-31","cited_by_count":4,"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":"2309.07682","title":"A Conversation is Worth A Thousand Recommendations: A Survey of Holistic Conversational Recommender Systems","created":"2023-09-14","cited_by_count":3,"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":"2406.06475","title":"Survey for Landing Generative AI in Social and E-commerce Recsys -- the Industry Perspectives","created":"2024-06-10","cited_by_count":3,"area":null},{"id":"2406.08804","title":"DIET: Customized Slimming for Incompatible Networks in Sequential Recommendation","created":"2024-06-13","cited_by_count":3,"area":null},{"id":"2406.11156","title":"DELRec: Distilling Sequential Pattern to Enhance LLMs-based Sequential Recommendation","created":"2024-06-17","cited_by_count":3,"area":null},{"id":"2411.09065","title":"Language-Model Prior Overcomes Cold-Start Items","created":"2024-11-13","cited_by_count":3,"area":null},{"id":"2411.18262","title":"Break the ID-Language Barrier: An Adaption Framework for LLM-based Sequential Recommendation","created":"2024-11-27","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":"2503.05493","title":"Can LLMs Outshine Conventional Recommenders? A Comparative Evaluation","created":"2025-03-07","cited_by_count":3,"area":null},{"id":"2504.16871","title":"Exploring How LLMs Capture and Represent Domain-Specific Knowledge","created":"2025-04-23","cited_by_count":3,"area":null},{"id":"2406.12243","title":"CherryRec: Enhancing News Recommendation Quality via LLM-driven Framework","created":"2024-06-18","cited_by_count":2,"area":null},{"id":"2406.14169","title":"Optimizing Novelty of Top-k Recommendations using Large Language Models and Reinforcement Learning","created":"2024-06-20","cited_by_count":2,"area":null},{"id":"2411.02041","title":"Enhancing ID-based Recommendation with Large Language Models","created":"2024-11-04","cited_by_count":2,"area":null},{"id":"2502.14305","title":"Scaling Down, Serving Fast: Compressing and Deploying Efficient LLMs for Recommendation Systems","created":"2025-02-20","cited_by_count":2,"area":null},{"id":"2504.20859","title":"X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation","created":"2025-04-29","cited_by_count":2,"area":null},{"id":"2505.17682","title":"Tuning Language Models for Robust Prediction of Diverse User Behaviors","created":"2025-05-23","cited_by_count":2,"area":null},{"id":"2508.18442","title":"DenseRec: Revisiting Dense Content Embeddings for Sequential Transformer-based Recommendation","created":"2025-08-25","cited_by_count":2,"area":null},{"id":"2509.13957","title":"Enhancing Time Awareness in Generative Recommendation","created":"2025-09-17","cited_by_count":2,"area":null},{"id":"2510.18046","title":"Language Models as Semantic Augmenters for Sequential Recommenders","created":"2025-10-20","cited_by_count":2,"area":null},{"id":"2511.12154","title":"Open Banking Foundational Model: Learning Language Representations from Few Financial Transactions","created":"2025-11-15","cited_by_count":2,"area":null},{"id":"2601.02386","title":"Tree of Preferences for Diversified Recommendation","created":"2025-12-24","cited_by_count":2,"area":null},{"id":"2602.02338","title":"Rethinking Generative Recommender Tokenizer: Recsys-Native Encoding and Semantic Quantization Beyond LLMs","created":"2026-02-02","cited_by_count":2,"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":"2411.13865","title":"Breaking Information Cocoons: A Hyperbolic Framework for Balancing Exploration and Exploitation in Recommender Systems","created":"2024-11-21","cited_by_count":1,"area":null},{"id":"2412.16933","title":"Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models","created":"2024-12-22","cited_by_count":1,"area":null},{"id":"2504.10512","title":"JEPA4Rec: Learning Effective Language Representations for Sequential Recommendation via Joint Embedding Predictive Architecture","created":"2025-04-10","cited_by_count":1,"area":null},{"id":"2504.10538","title":"Distilling Transitional Pattern to Large Language Models for Multimodal Session-based Recommendation","created":"2025-04-13","cited_by_count":1,"area":null},{"id":"2504.14147","title":"Explainable Recommendation with Simulated Human Feedback","created":"2025-04-19","cited_by_count":1,"area":null},{"id":"2505.23053","title":"Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders","created":"2025-05-29","cited_by_count":1,"area":null},{"id":"2507.19473","title":"Let It Go? Not Quite: Addressing Item Cold Start in Sequential Recommendations with Content-Based Initialization","created":"2025-07-25","cited_by_count":1,"area":null},{"id":"2511.20673","title":"Semantics Meet Signals: Dual Codebook Representationl Learning for Generative Recommendation","created":"2025-11-15","cited_by_count":1,"area":null},{"id":"2601.06458","title":"PixRec: Leveraging Visual Context for Next-Item Prediction in Sequential Recommendation","created":"2026-01-10","cited_by_count":1,"area":null},{"id":"2603.06631","title":"T-REX: Transformer-Based Category Sequence Generation for Grocery Basket Recommendation","created":"2026-02-23","cited_by_count":1,"area":null},{"id":"2604.12096","title":"LLM-HYPER: Generative CTR Modeling for Cold-Start Ad Personalization via LLM-Based Hypernetworks","created":"2026-04-13","cited_by_count":1,"area":null},{"id":"2605.07125","title":"An Embarrassingly Simple Graph Heuristic Reveals Shortcut-Solvable Benchmarks for Sequential Recommendation","created":"2026-05-08","cited_by_count":1,"area":null},{"id":"2609.04738","title":"Aplaud: Adaptive Personalized Low-Rank Decomposition for User-Specific LLM","created":"2026-09-04","cited_by_count":1,"area":null},{"id":"2306.14314","title":"G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer","created":"2023-06-25","cited_by_count":0,"area":null},{"id":"2402.16073","title":"Pfeed: Generating near real-time personalized feeds using precomputed embedding similarities","created":"2024-02-25","cited_by_count":0,"area":null},{"id":"2409.19550","title":"Tailed Low-Rank Matrix Factorization for Similarity Matrix Completion","created":"2024-09-29","cited_by_count":0,"area":null},{"id":"2411.01785","title":"Transferable Sequential Recommendation via Vector Quantized Meta Learning","created":"2024-11-04","cited_by_count":0,"area":null},{"id":"2411.16034","title":"VisualLens: Personalization through Task-Agnostic Visual History","created":"2024-11-25","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":"2503.06238","title":"Token-Efficient Item Representation via Images for LLM Recommender Systems","created":"2025-03-08","cited_by_count":0,"area":null},{"id":"2504.08002","title":"More diverse more adaptive: Comprehensive Multi-task Learning for Improved LLM Domain Adaptation in E-commerce","created":"2025-04-09","cited_by_count":0,"area":null},{"id":"2504.17529","title":"IRA: Adaptive Interest-aware Representation and Alignment for Personalized Multi-interest Retrieval","created":"2025-04-24","cited_by_count":0,"area":null}],"next_cursor":"100"}