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Recommenders /criteo0 likes914 downloads9mo agoHugging FaceRecommenders /MIND MIND Microsoft News Dataset (MIND) is a large-scale dataset for news recommendation research. It was collected from anonymized behavior logs of Microsoft News website. The mission of MIND is to serve as a benchmark dataset for news recommendation and facilitate the research in news recommendation and recommender systems area. MIND contains about 160k English news articles and more than 15 million impression logs generated by 1 million users. Every news article contains rich textual… See the full description on the dataset page: https://huggingface.co/datasets/Recommenders/MIND.text0 likes457 downloads9mo agoHugging FaceRecommenders /MovieLens MovieLens To acknowledge use of the dataset in publications, please cite the following paper: F. Maxwell Harper and Joseph A. Konstan. 2015. The MovieLens Datasets: History and Context. ACM Transactions on Interactive Intelligent Systems (TiiS) 5, 4: 19:1–19:19. https://doi.org/10.1145/2827872 0 likes216 downloads23d agoHugging Facerecommender-system /movielens-small-completedThis dataset are combining by: The Movielens latest dataset: https://grouplens.org/datasets/movielens/latest/ The Movies dataset: https://www.kaggle.com/datasets/rounakbanik/the-movies-dataset The Tag Genome dataset for movies: https://grouplens.org/datasets/movielens/tag-genome-2021/ The Tag Genome dataset for books: https://grouplens.org/datasets/book-genome References [Kotkov et al., 2021] Kotkov, D., Maslov, A., and Neovius, M. (2021). Revisiting the tag relevance… See the full description on the dataset page: https://huggingface.co/datasets/recommender-system/movielens-small-completed.1 likes96 downloads2y agoHugging Facerecommender-system /steam-review-and-bundle-dataset About This dataset is copying from https://cseweb.ucsd.edu/~jmcauley/datasets.html in Steam Video Game and Bundle Data. We are using it for our research. These datasets contain reviews from the Steam video game platform, and information about which games were bundled together. Statistics Reviews : 7,793,069 Users Write Reviews : 25,799 Users Has Games : 88,310 Steam Games : 32,135 Steam Bundles : 615 Samples For… See the full description on the dataset page: https://huggingface.co/datasets/recommender-system/steam-review-and-bundle-dataset.100M<n<1B2 likes50 downloads2y agoHugging Facerecommender-system /bundle-instacart-dataset100K<n<1M0 likes32 downloads2mo agoHugging Face