Resources accompanying the "Zero-Shot Recommendation as Language Modeling" paper published at ECIR2022, where we show that pretrained large language models can act as a recommender system, and compare few-shot learning results to matrix factorization baselines.
We provide a version of our dataset on Huggingface datasets 🤗:
from datasets import load_dataset
dataset = load_dataset("sileod/movie_recommendation")
A version of this dataset was also included in BIG-Bench.
@InProceedings{sileo-lmrec-2022,
author="Sileo, Damien
and Vossen, Wout
and Raymaekers, Robbe",
editor="Hagen, Matthias
and Verberne, Suzan
and Macdonald, Craig
and Seifert, Christin
and Balog, Krisztian
and N{\o}rv{\aa}g, Kjetil
and Setty, Vinay",
title="Zero-Shot Recommendation as Language Modeling",
booktitle="Advances in Information Retrieval",
year="2022",
publisher="Springer International Publishing",
address="Cham",
pages="223--230",
isbn="978-3-030-99739-7"
}