MovieLens 1M

The associated task is to predict the movie rating on a 5-star scale. This dataset contains 6,040 users, 3,900 movies, and 1,000,209 ratings, i.e., rating matrix is 4.26% full.

Data and Resources

Cite this as

Himan Abdollahpouri, Robin Burke, Masoud Mansoury, Bamshad Mobasher (2024). Dataset: MovieLens 1M. https://doi.org/10.57702/lih52fgw

DOI retrieved: December 2, 2024

Additional Info

Field Value
Created December 2, 2024
Last update December 3, 2024
Defined In https://doi.org/10.48550/arXiv.2210.05936
Citation
  • https://doi.org/10.48550/arXiv.1811.01686
  • https://doi.org/10.48550/arXiv.1909.00687
  • https://doi.org/10.48550/arXiv.1902.00715
  • https://doi.org/10.48550/arXiv.1909.06362
  • https://doi.org/10.48550/arXiv.2011.02100
  • https://doi.org/10.48550/arXiv.2201.13128
  • https://doi.org/10.48550/arXiv.2210.11616
  • https://doi.org/10.48550/arXiv.1612.07146
  • https://doi.org/10.48550/arXiv.1910.05755
  • https://doi.org/10.48550/arXiv.2202.13227
  • https://doi.org/10.48550/arXiv.1912.09140
  • https://doi.org/10.48550/arXiv.1806.06192
Author Himan Abdollahpouri
More Authors
Robin Burke
Masoud Mansoury
Bamshad Mobasher
Homepage https://grouplens.org/datasets/movielens/