rainym00d/LLM4RS
the official implementation of the RecSys 2023 paper “Uncovering ChatGPT's Capabilities in Recommender Systems”
This project helps e-commerce managers, content curators, and product owners improve their recommendation systems by evaluating how well ChatGPT can suggest items. You provide a dataset of user interactions with items (like movies, books, or news), and it outputs an analysis of ChatGPT's recommendation quality, helping you understand its potential in your specific domain. This tool is for anyone responsible for personalizing user experiences or driving engagement through recommendations.
175 stars. No commits in the last 6 months.
Use this if you want to explore the effectiveness of large language models, specifically ChatGPT, for generating recommendations in domains like movies, books, music, or news.
Not ideal if you need a plug-and-play recommendation system for immediate deployment or if you're not interested in experimenting with large language models for this purpose.
Stars
175
Forks
17
Language
Jupyter Notebook
License
—
Category
Last pushed
May 14, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/rainym00d/LLM4RS"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
AkaliKong/MiniOneRec
Minimal reproduction of OneRec
microsoft/RecAI
Bridging LLM and Recommender System.
dokar3/upnext-gpt
GPT powered playlist App for Android. Supports Apple Music, Spotify, and Youtube Music.
YuanchenBei/Awesome-Cold-Start-Recommendation
[Up-to-date] A curated list of resources on cold-start recommendations.
giuseppe99barchetta/SuggestArr
Effortlessly request recommended movies, TV shows and anime to Jellyseer/Overseer based on your...