2019-04-02 movielens数据集整理

https://grouplens.org/datasets/movielens/

ml100k:

官网简介：Stable benchmark dataset. 100,000 ratings from 1000 users on 1700 movies. Released 4/1998.

下载链接：https://grouplens.org/datasets/movielens/100k/

数据简介：来自1000个用户对1700部电影的100000个评分

稀疏度：5.88%    人均100个评分

ml1m:

官网简介：Stable benchmark dataset. 1 million ratings from 6000 users on 4000 movies. Released 2/2003.

下载链接：https://grouplens.org/datasets/movielens/1m/

数据简介：来自6000个用户对4000部电影的1000000个评分

稀疏度：4.17%   人均166个评分

ml10m:

官网简介：Stable benchmark dataset. 10 million ratings and 100,000 tag applications applied to 10,000 movies by 72,000 users. Released 1/2009.

下载链接：https://grouplens.org/datasets/movielens/10m/

数据简介：来自72000个用户对10000部电影的10000000个评分,有tag

稀疏度：1.39%   人均138个评分

ml20m:

官网简介：Stable benchmark dataset. 20 million ratings and 465,000 tag applications applied to 27,000 movies by 138,000 users. Includes tag genome data with 12 million relevance scores across 1,100 tags. Released 4/2015; updated 10/2016 to update links.csv and add tag genome data.

下载链接：https://grouplens.org/datasets/movielens/20m/

数据简介：来自138000个用户对27000部电影的20000000个评分,有tag

稀疏度：0.537%   人均144个评分

ml-latest:正在更新，不建议作为研究报告结果使用

Book-Crossing:

官网简介：The BookCrossing (BX) dataset was collected by Cai-Nicolas Ziegler in a 4-week crawl (August / September 2004) from the Book-Crossing community with kind permission from Ron Hornbaker, CTO of Humankind Systems. It contains 278,858 users (anonymized but with demographic information) providing 1,149,780 ratings (explicit / implicit) about 271,379 books.

下载链接：https://grouplens.org/datasets/book-crossing/

数据简介：来自278,858个用户对271,379部书籍的1,149,780个评分

稀疏度：0.00152%   人均4个评分