awesome-llm-for-recsys
github.com/chiangel/awesome-llm-for-recsys ↗Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.
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1. Papers2. Datasets & Benchmarks3. Related Repositories
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me 2.1 datasets resources from awesome-llm-for-recsys"
Installation instructions →What's inside
1. Papers
- A Comprehensive Review on Harnessing Large Language Models to Overcome Recommender System Challenges
Arxiv 2025
- ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation
Arxiv 2025
- Active Large Language Model-based Knowledge Distillation for Session-based Recommendation
Arxiv 2025
- AdaptJobRec: Enhancing Conversational Career Recommendation through an LLM-Powered Agentic System
Arxiv 2025
- A Decoding Acceleration Framework for Industrial Deployable LLM-based Recommender Systems
Arxiv 2024
- Agent4Ranking
Agent4Ranking: Semantic Robust Ranking via Personalized Query Rewriting Using Multi-agent LLM
2. Datasets & Benchmarks
- Amazon2.1 Datasets
E-commerce
- Amazon-M22.1 Datasets
E-commerce
- Amazon-M2 (KDD Cup 2023)2.2 Benchmarks
[Link]
- AmazonQAC2.1 Datasets
Query Autocomplete
- Amazon-Review 20232.1 Datasets
E-commerce
- Anime2.1 Datasets
Anime
3. Related Repositories
- Awesome-LLM4RS-Papers
nancheng58
- awesome-recommend-system-pretraining-papers
archersama
Showing a sample of 648 resources. View the full list on GitHub →