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+{"paper_url": "https://arxiv.org/pdf/2308.14296", "comment": "This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper. \n\nThe following papers were recommended by the Semantic Scholar API \n\n* [MADREC: A Multi-Aspect Driven LLM Agent for Explainable and Adaptive Recommendation](https://huggingface.co/papers/2510.13371) (2025)\n* [AgenticRAG: Tool-Augmented Foundation Models for Zero-Shot Explainable Recommender Systems](https://huggingface.co/papers/2510.02668) (2025)\n* [Enhance Large Language Models as Recommendation Systems with Collaborative Filtering](https://huggingface.co/papers/2510.15647) (2025)\n* [RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation](https://huggingface.co/papers/2509.03131) (2025)\n* [MR.Rec: Synergizing Memory and Reasoning for Personalized Recommendation Assistant with LLMs](https://huggingface.co/papers/2510.14629) (2025)\n* [Language Models as Semantic Augmenters for Sequential Recommenders](https://huggingface.co/papers/2510.18046) (2025)\n* [AgentDR Dynamic Recommendation with Implicit Item-Item Relations via LLM-based Agents](https://huggingface.co/papers/2510.05598) (2025)\n\n\n Please give a thumbs up to this comment if you found it helpful!\n\n If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space\n\n You can directly ask Librarian Bot for paper recommendations by tagging it in a comment: `@librarian-bot recommend`"}