sileod/language-model-recommendation
Resources accompanying the "Zero-Shot Recommendation as Language Modeling" paper (ECIR2022)
This project helps researchers and practitioners evaluate how well large language models can recommend items without needing specific training data. You provide a dataset of past user interactions or preferences, and the project outputs insights into how effectively a language model could suggest new items. It's designed for data scientists and AI researchers exploring novel recommendation techniques.
No commits in the last 6 months.
Use this if you are a researcher or data scientist interested in leveraging large language models for recommendation tasks and want to benchmark their zero-shot capabilities against traditional methods.
Not ideal if you are looking for a ready-to-deploy, production-grade recommendation system or a tool for general machine learning model evaluation.
Stars
14
Forks
2
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
May 25, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/sileod/language-model-recommendation"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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