# 🎯 Recommendation

| Research | Links |
|----------|-----------|
| Learning Personalized Agents from Human Feedback | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_foraiscientists-forairesearchers-foraiarchitects-activity-7431258236688678912-fC4_) · [Paper](https://arxiv.org/pdf/2602.16173) |
| 🤖🎯 Towards Agentic Recommender Systems in the Era of Multimodal LLMs | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7310019980534702081-IUg8) · [Paper](https://arxiv.org/abs/2503.16734) |
| 🤖🔍 MACRec: A Multi-Agent Collaboration Framework for Recommendation | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7300545215897956353-hIXP) · [Paper](https://arxiv.org/pdf/2402.15235) |
| 🤖🎯 InstructAgent: A New LLM-Powered Agent that Puts Users In Control of Recommender Systems | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7299029683365421056-EbSt) · [Paper](https://arxiv.org/pdf/2502.14662) |
| 🤖🔗 KGLA: Knowledge Graph-Enhanced Recommendation Agents | [Post](https://www.linkedin.com/posts/mahmoudrabie2004_forabraiabrscientists-forabraiabrresearchers-activity-7291386582136156160-2POk) · [Paper](https://arxiv.org/pdf/2410.19627) |
