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jeykigung · Jun 30, 2023 · 4412639 · 4412639
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 # Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)
 
-**Paper link: https://arxiv.org/pdf/2203.13366.pdf**
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-**A reorganized repo (OpenP5) is available at: https://github.com/agiresearch/OpenP5**
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-**Paper: OpenP5: Benchmarking Foundation Models for Recommendation, arXiv: https://arxiv.org/abs/2306.11134**
+This repo presents implementation of the **P5** large language model (LLM) for recommendation:
+> **Paper**: Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5) <br>
+> **Paper link**: [https://arxiv.org/pdf/2203.13366.pdf](https://arxiv.org/pdf/2203.13366.pdf)
+
+A reorganized and refined repo of P5 called **OpenP5** is also available on GitHub, which is an open-source library for benchmarking foundation models for recommendation under the Pre-train, Personalized Prompt and Predict Paradigm (P5):
+> **Paper**: OpenP5: Benchmarking Foundation Models for Recommendation <br>
+> **Paper link**: [https://arxiv.org/pdf/2203.13366.pdf](https://arxiv.org/pdf/2306.11134.pdf) <br>
+> **GitHub link**: [https://github.com/agiresearch/OpenP5](https://github.com/agiresearch/OpenP5)
+
+Another relevant repo regarding how to create item ID for recommendation foundation models is available here:
+> **Paper**: How to Index Item IDs for Recommendation Foundation Models <br>
+> **Paper link**: https://arxiv.org/pdf/2305.06569.pdf <br>
+> **GitHub link**: [https://github.com/Wenyueh/LLMforRS_item_representation](https://github.com/Wenyueh/LLMforRS_item_representation)
 
 ![Teaser](pic/teaser.png)