You're currently viewing an old version of this dataset. To see the current version, click here.

MovieLens Dataset

The MovieLens dataset is a widely-used benchmark dataset for research in recommender systems. It contains 10 million ratings (from 0 to 5) and 100,000 tag applications applied to 10,000 movies by 72,000 users. To preprocess the dataset, we choose the best K ∈ {20, 50, 100} movies for consideration. At each time t, one random user visits the website and is recommended one of the best K movies. We assume that the user will click on the recommended movie if and only if the user’s rating of this movie is at least 3.

Data and Resources

Cite this as

Gemma E. Moran, Dhanya Sridhar, Yixin Wang, David M. Blei (2024). Dataset: MovieLens Dataset. https://doi.org/10.57702/d7sil3ez

DOI retrieved: December 2, 2024

Additional Info

Field Value
Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.2110.10804
Citation
  • https://doi.org/10.48550/arXiv.2405.15200
  • https://doi.org/10.1109/TSP.2021.3109375
Author Gemma E. Moran
More Authors
Dhanya Sridhar
Yixin Wang
David M. Blei
Homepage https://arxiv.org/abs/2202.03465