Grouplens movie data set. Stable benchmark dataset. Members of the GroupLens Research Project are involved in many research projects related to the fields of information filtering, collaborative filtering, and recommender systems. Oct 20, 2024 · This data set consists of: * 100,000 ratings (1-5) from 943 users on 1682 movies. This dataset also contains input necessary to generate the tag genome using bot… MovieLens 10M movie ratings. * Each user has rated at least 20 movies. txt ml-10m. 20 million ratings and 465,000 tag applications applied to 27,000 movies by 138,000 users. Stable benchmark dataset. 32 million ratings and two million tag applications applied to 87,585 movies by 200,948 users. Released 2/2003. Includes tag genome data with 14 million relevance scores across 1,100 tags. Full: approximately 33,000,000 ratings and 2,000,000 tag applications applied to 86,000 movies by 330,975 users. Choose the one you’re interested in from the menu on the right. 100,000 ratings from 1000 users on 1700 movies. Before using these data sets, please review their README … MovieLens 100K movie ratings. 10 million ratings and 100,000 tag applications applied to 10,000 movies by 72,000 users. txt m…. zip (size: 6 MB, checksum) Permalink: MovieLens 20M movie ratings. README. txt ml-1m. zip (size: 5 MB, checksum) Index of unzipped files Permal… MovieLens 1M movie ratings. Includes tag genome data with 12 million relevance … 10. Released 1/2009. txt ml-100k. Jul 2, 2025 · MovieLens represents not just one dataset, but a collection of movie rating datasets of various sizes. 1 million ratings from 6000 users on 4000 movies. Released 12/2021. Includes tag genome data with 12 million relevance scores across 1,100 tags. Collected 10/2023 Released 05/2024 README. 5 million computed tag-movie relevance scores from a pool of 1,084 tags applied to 9,734 movies. 25 million ratings and one million tag applications applied to 62,000 movies by 162,000 users. Released 4/1998. zip (size: 63 MB,… MovieLens 32M movie ratings. Includes tag genome data with 15 million relevance scores across 1,129 tags. They are curated and made available by GroupLens Research, a respected lab at the University of Minnesota. GroupLens Research has collected and made available several datasets. The project is lead by professors John Riedl and Joseph Konstan. xgbrwn sbsxvcpo ruvut kyxo jkmkwhny omv nswyhw eeottrs mhadsx rrtd