用户历史行为向量化用于精排推荐中的大模型方法

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Citations

USER-LLM: Efficient LLM contextualization with user embeddings

https://research.google/blog/user-llm-efficient-llm-contextualization-with-user-embeddings/

谈谈LLM在推荐域的渗透，探索推荐新范式-阿里云开发者社区

https://developer.aliyun.com/article/1272112

Recommendation Systems using LLM, Part 3 | by Ling Huang | Medium

https://medium.com/@linghuang_76674/recommendation-systems-using-llm-part-3-500aeba058b9

谈谈LLM在推荐域的渗透，探索推荐新范式-阿里云开发者社区

https://developer.aliyun.com/article/1272112

谈谈LLM在推荐域的渗透，探索推荐新范式-阿里云开发者社区

https://developer.aliyun.com/article/1272112

谈谈LLM在推荐域的渗透，探索推荐新范式-阿里云开发者社区

https://developer.aliyun.com/article/1272112

谈谈LLM在推荐域的渗透，探索推荐新范式-阿里云开发者社区

https://developer.aliyun.com/article/1272112

Improving Recommendation Systems & Search in the Age of LLMs

https://eugeneyan.com/writing/recsys-llm/

Improving Recommendation Systems & Search in the Age of LLMs

https://eugeneyan.com/writing/recsys-llm/

[2311.01343] Collaborative Large Language Model for Recommender Systems

https://ar5iv.org/abs/2311.01343

[2311.01343] Collaborative Large Language Model for Recommender Systems

https://ar5iv.org/abs/2311.01343

谈谈LLM在推荐域的渗透，探索推荐新范式-阿里云开发者社区

https://developer.aliyun.com/article/1272112

GitHub - yaochenzhu/LLM4Rec: (WWW'24 + LinkedIn) The first RS that tightly combines LLM with ID-based RS

https://github.com/yaochenzhu/LLM4Rec

[2311.01343] Collaborative Large Language Model for Recommender Systems

https://ar5iv.org/abs/2311.01343

[2311.01343] Collaborative Large Language Model for Recommender Systems

https://ar5iv.org/abs/2311.01343

USER-LLM: Efficient LLM contextualization with user embeddings

https://research.google/blog/user-llm-efficient-llm-contextualization-with-user-embeddings/

USER-LLM: Efficient LLM contextualization with user embeddings

https://research.google/blog/user-llm-efficient-llm-contextualization-with-user-embeddings/

USER-LLM: Efficient LLM contextualization with user embeddings

https://research.google/blog/user-llm-efficient-llm-contextualization-with-user-embeddings/

USER-LLM: Efficient LLM contextualization with user embeddings

https://research.google/blog/user-llm-efficient-llm-contextualization-with-user-embeddings/

USER-LLM: Efficient LLM contextualization with user embeddings

https://research.google/blog/user-llm-efficient-llm-contextualization-with-user-embeddings/

GTS-LUM: Reshaping User Behavior Modeling with LLMs in Telecommunications Industry

https://arxiv.org/html/2504.06511v1

GTS-LUM: Reshaping User Behavior Modeling with LLMs in Telecommunications Industry

https://arxiv.org/html/2504.06511v1

[2311.01343] Collaborative Large Language Model for Recommender Systems

https://ar5iv.org/abs/2311.01343

USER-LLM: Efficient LLM contextualization with user embeddings

https://research.google/blog/user-llm-efficient-llm-contextualization-with-user-embeddings/

Improving Recommendation Systems & Search in the Age of LLMs

https://eugeneyan.com/writing/recsys-llm/

Improving Recommendation Systems & Search in the Age of LLMs

https://eugeneyan.com/writing/recsys-llm/

[2310.15950] Representation Learning with Large Language Models for Recommendation

https://arxiv.org/abs/2310.15950

谈谈LLM在推荐域的渗透，探索推荐新范式-阿里云开发者社区

https://developer.aliyun.com/article/1272112

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

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

USER-LLM: Efficient LLM contextualization with user embeddings

https://research.google/blog/user-llm-efficient-llm-contextualization-with-user-embeddings/

USER-LLM: Efficient LLM contextualization with user embeddings

https://research.google/blog/user-llm-efficient-llm-contextualization-with-user-embeddings/

USER-LLM: Efficient LLM contextualization with user embeddings

https://research.google/blog/user-llm-efficient-llm-contextualization-with-user-embeddings/

USER-LLM: Efficient LLM contextualization with user embeddings

https://research.google/blog/user-llm-efficient-llm-contextualization-with-user-embeddings/

USER-LLM: Efficient LLM contextualization with user embeddings

https://research.google/blog/user-llm-efficient-llm-contextualization-with-user-embeddings/

GitHub - HKUDS/RLMRec: [WWW'2024] "RLMRec: Representation Learning with Large Language Models for Recommendation"

https://github.com/HKUDS/RLMRec

[2310.15950] Representation Learning with Large Language Models for Recommendation

https://arxiv.org/abs/2310.15950

GitHub - HKUDS/RLMRec: [WWW'2024] "RLMRec: Representation Learning with Large Language Models for Recommendation"

https://github.com/HKUDS/RLMRec

[2310.15950] Representation Learning with Large Language Models for Recommendation

https://arxiv.org/abs/2310.15950

[2310.15950] Representation Learning with Large Language Models for Recommendation

https://arxiv.org/abs/2310.15950

GitHub - HKUDS/RLMRec: [WWW'2024] "RLMRec: Representation Learning with Large Language Models for Recommendation"

https://github.com/HKUDS/RLMRec

GitHub - HKUDS/RLMRec: [WWW'2024] "RLMRec: Representation Learning with Large Language Models for Recommendation"

https://github.com/HKUDS/RLMRec

GitHub - yaochenzhu/LLM4Rec: (WWW'24 + LinkedIn) The first RS that tightly combines LLM with ID-based RS

https://github.com/yaochenzhu/LLM4Rec

[2311.01343] Collaborative Large Language Model for Recommender Systems

https://ar5iv.org/abs/2311.01343

[2311.01343] Collaborative Large Language Model for Recommender Systems

https://ar5iv.org/abs/2311.01343

[2311.01343] Collaborative Large Language Model for Recommender Systems

https://ar5iv.org/abs/2311.01343

[2311.01343] Collaborative Large Language Model for Recommender Systems

https://ar5iv.org/abs/2311.01343

(PDF) RecMind: Large Language Model Powered Agent For ...

https://www.researchgate.net/publication/382633338_RecMind_Large_Language_Model_Powered_Agent_For_Recommendation

Meet RecMind: An Autonomous Recommender Agent Driven by ...

https://www.reddit.com/r/machinelearningnews/comments/167vnsz/meet_recmind_an_autonomous_recommender_agent/

GitHub - yaochenzhu/LLM4Rec: (WWW'24 + LinkedIn) The first RS that tightly combines LLM with ID-based RS

https://github.com/yaochenzhu/LLM4Rec

[2311.01343] Collaborative Large Language Model for Recommender Systems

https://ar5iv.org/abs/2311.01343

[2311.01343] Collaborative Large Language Model for Recommender Systems

https://ar5iv.org/abs/2311.01343

Improving Recommendation Systems & Search in the Age of LLMs

https://eugeneyan.com/writing/recsys-llm/

LLMs at ACM RecSys24. LLMs are used in recommendation ...

https://celine-liu.medium.com/llms-at-acm-recsys24-91acf57e09c5

Improving Recommendation Systems & Search in the Age of LLMs

https://eugeneyan.com/writing/recsys-llm/

Overview of our EmbSum framework. Note that the user summaries...

https://www.researchgate.net/figure/Overview-of-our-EmbSum-framework-Note-that-the-user-summaries-generated-by-LLMs-are-only_fig1_384741809

Improving LLM-powered Recommendations with Personalized ...

https://arxiv.org/html/2502.13845v2

Improving Recommendation Systems & Search in the Age of LLMs

https://eugeneyan.com/writing/recsys-llm/

谈谈LLM在推荐域的渗透，探索推荐新范式-阿里云开发者社区

https://developer.aliyun.com/article/1272112

deepseek-ai/DeepSeek-R1 - Hugging Face

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

DeepSeek-R1 now available as a fully managed LLM model in ...

https://www.aboutamazon.com/news/aws/aws-deepseek-r1-fully-managed-generally-available

Large Language Model Powered Agent For Recommendation - arXiv

https://arxiv.org/abs/2308.14296

Recommendation Systems using LLM, Part 3 | by Ling Huang | Medium

https://medium.com/@linghuang_76674/recommendation-systems-using-llm-part-3-500aeba058b9

LLM在电商行业：从数据到决策的最佳实践 - 百度智能云

https://cloud.baidu.com/article/1820509

什么是向量数据库？为什么向量数据库对LLM很重要？ - CSDN博客

https://blog.csdn.net/Gabriel100yi/article/details/136075446

大型语言模型(LLM) 为什么使用向量数据库，嵌入(Embeddings)又是 ...

https://blog.csdn.net/surfirst/article/details/136200212

大型语言模型(LLM) 为什么使用向量数据库，嵌入(Embeddings)又是 ...

https://blog.csdn.net/surfirst/article/details/136200212

Are GPT Embeddings Useful for Ads and Recommendation? | OpenReview

https://openreview.net/forum?id=IG0JPhppmm

GitHub - TamSiuhin/LLM-UM-Reading: A list of large language models for user modeling (LLM-UM) papers, based on "User Modeling in the Era of Large Language Models: Current Research and Future Directions" at DEBULL

https://github.com/TamSiuhin/LLM-UM-Reading

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/

[PDF] Enhancing Reranking for Recommendation with LLMs through User ...

https://aclanthology.org/2025.coling-main.45.pdf

Enhancing Reranking for Recommendation with LLMs through User Preference Retrieval

https://aclanthology.org/2025.coling-main.45.pdf

Enhancing Reranking for Recommendation with LLMs through User Preference Retrieval

https://aclanthology.org/2025.coling-main.45.pdf

Improving LLM-powered Recommendations with Personalized ...

https://arxiv.org/html/2502.13845v2

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

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

Improving Recommendation Systems & Search in the Age of LLMs

https://eugeneyan.com/writing/recsys-llm/

USER-LLM: Efficient LLM contextualization with user embeddings

https://research.google/blog/user-llm-efficient-llm-contextualization-with-user-embeddings/
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