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将用户历史行为编码为64维向量用于精排推荐的LLM落地方案

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Citations

Google's USER-LLM: User Embeddings for Personalizing LLMs, & Why SEOs Should Care (Maybe) - Ethan Lazuk

https://ethanlazuk.com/blog/hamsterdam-research-user-llm/

EmbSum: LLM-Powered Content Recommendations | Shaped Blog

https://www.shaped.ai/blog/embsum-llm-powered-content-recommendations

deepseek-ai/DeepSeek-R1 · Hugging Face

https://huggingface.co/deepseek-ai/DeepSeek-R1

deepseek-ai/DeepSeek-R1 - Hugging Face

https://huggingface.co/deepseek-ai/DeepSeek-R1

deepseek-ai/DeepSeek-R1 · Hugging Face

https://huggingface.co/deepseek-ai/DeepSeek-R1

RecGPT: Generative Pre-training for Text-based Recommendation - ACL Anthology

https://aclanthology.org/2024.acl-short.29/

RecGPT: Generative Pre-training for Text-based Recommendation - ACL Anthology

https://aclanthology.org/2024.acl-short.29/

[2311.01343] Collaborative Large Language Model for Recommender Systems

https://arxiv.org/abs/2311.01343

Google's USER-LLM: User Embeddings for Personalizing LLMs, & Why SEOs Should Care (Maybe) - Ethan Lazuk

https://ethanlazuk.com/blog/hamsterdam-research-user-llm/

Google's USER-LLM: User Embeddings for Personalizing LLMs, & Why SEOs Should Care (Maybe) - Ethan Lazuk

https://ethanlazuk.com/blog/hamsterdam-research-user-llm/

Google's USER-LLM: User Embeddings for Personalizing LLMs, & Why SEOs Should Care (Maybe) - Ethan Lazuk

https://ethanlazuk.com/blog/hamsterdam-research-user-llm/

[2404.08675] RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm

https://arxiv.org/abs/2404.08675

EmbSum: LLM-Powered Content Recommendations | Shaped Blog

https://www.shaped.ai/blog/embsum-llm-powered-content-recommendations

EmbSum: LLM-Powered Content Recommendations | Shaped Blog

https://www.shaped.ai/blog/embsum-llm-powered-content-recommendations

EmbSum: LLM-Powered Content Recommendations | Shaped Blog

https://www.shaped.ai/blog/embsum-llm-powered-content-recommendations

EmbSum: LLM-Powered Content Recommendations | Shaped Blog

https://www.shaped.ai/blog/embsum-llm-powered-content-recommendations

[2311.01343] Collaborative Large Language Model for Recommender Systems

https://arxiv.org/abs/2311.01343

EmbSum: LLM-Powered Content Recommendations | Shaped Blog

https://www.shaped.ai/blog/embsum-llm-powered-content-recommendations

EmbSum: LLM-Powered Content Recommendations | Shaped Blog

https://www.shaped.ai/blog/embsum-llm-powered-content-recommendations

[2404.08675] RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm

https://arxiv.org/abs/2404.08675

[2404.08675] RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm

https://arxiv.org/abs/2404.08675

[2404.08675] RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm

https://arxiv.org/abs/2404.08675

EmbSum: LLM-Powered Content Recommendations | Shaped Blog

https://www.shaped.ai/blog/embsum-llm-powered-content-recommendations

deepseek-ai/DeepSeek-R1 · Hugging Face

https://huggingface.co/deepseek-ai/DeepSeek-R1

GitHub - liuqidong07/Awesome-LLM-Enhanced-Recommender-Systems: [arXiv'24] Large Language Model Enhanced Recommender Systems: Taxonomy, Trend, Application and Future

https://github.com/liuqidong07/Awesome-LLM-Enhanced-Recommender-Systems

GitHub - liuqidong07/Awesome-LLM-Enhanced-Recommender-Systems: [arXiv'24] Large Language Model Enhanced Recommender Systems: Taxonomy, Trend, Application and Future

https://github.com/liuqidong07/Awesome-LLM-Enhanced-Recommender-Systems

[2405.11441] EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations

https://arxiv.org/abs/2405.11441

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