Awesome-LLM-for-RecSys and awesome-ai-llm4education

Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 16/25
Maintenance 10/25
Adoption 10/25
Maturity 8/25
Community 15/25
Stars: 1,519
Forks: 86
Downloads:
Commits (30d): 0
Language:
License: MIT
Stars: 171
Forks: 19
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
No Package No Dependents
No License No Package No Dependents

About Awesome-LLM-for-RecSys

CHIANGEL/Awesome-LLM-for-RecSys

Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.

This resource provides a comprehensive collection of research papers and materials exploring how large language models (LLMs) can enhance recommender systems. It organizes recent advancements in areas like feature engineering, user/item representation, and explanation generation, offering a structured overview of this rapidly evolving field. Researchers and practitioners in recommender systems, particularly those interested in leveraging cutting-edge AI for improved personalization, will find this collection valuable.

recommender-systems information-retrieval personalized-recommendations AI-research machine-learning

About awesome-ai-llm4education

GeminiLight/awesome-ai-llm4education

Awesome artificial intelligence (AI) and large language model (LLM) for education papers.

This project helps education researchers, instructional designers, and policymakers stay current with the latest advancements in AI and Large Language Models (LLMs) applied to education. It provides a categorized list of academic papers from top conferences and journals. The output is a structured overview of research on topics like tutoring systems, adaptive testing, and content generation.

education-research instructional-design learning-technology academic-literature-review educational-policy

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