An LLM-powered Agentic Recommendation System for Connected TV Content Discovery
cs.IR, cs.AI
Submitted: 2026-07-10
Updated: 2026-10-10
Project page: https://physics.allen-zhu.com
Terminology
Sources
- Less is More: Benchmarking LLM Based Recommendation Agents
- MemRec: Collaborative Memory-Augmented Agentic Recommender System
- OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment
- The Llama 3 Herd of Models
- Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)
- PLUM: Adapting Pre-trained Language Models for Industrial-scale Generative Recommendations
- GR2: Generative Reasoning Re-ranker
- RecoWorld: Building Simulated Environments for Agentic Recommender Systems
- OneRec-Think: In-Text Reasoning for Generative Recommendation
- Recommender Systems with Generative Retrieval
- Transformer Memory as a Differentiable Search Index
- Self-Evolving Recommendation System: End-To-End Autonomous Model Optimization With LLM Agents
- Internalizing Multi-Agent Reasoning for Accurate and Efficient LLM-based Recommendation
- Toward Personalized LLM-Powered Agents: Foundations, Evaluation, and Future Directions
- Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations
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- How Do LLM-Generated Texts Impact Term-Based Retrieval Models?
- MemSyco-Bench: Benchmarking Sycophancy in Agent Memory
- Training with Missed Targets in Generative Recommendation: Separating Supervision from Probability Competition