电影
计算机科学
透视图(图形)
产品(数学)
Petascale计算
数据科学
情报检索
数据挖掘
推荐系统
人工智能
数学
数据库
协同过滤
几何学
可扩展性
作者
F. Maxwell Harper,Joseph A. Konstan
出处
期刊:ACM transactions on interactive intelligent systems
[Association for Computing Machinery]
日期:2015-12-22
卷期号:5 (4): 1-19
被引量:3081
摘要
The MovieLens datasets are widely used in education, research, and industry. They are downloaded hundreds of thousands of times each year, reflecting their use in popular press programming books, traditional and online courses, and software. These datasets are a product of member activity in the MovieLens movie recommendation system, an active research platform that has hosted many experiments since its launch in 1997. This article documents the history of MovieLens and the MovieLens datasets. We include a discussion of lessons learned from running a long-standing, live research platform from the perspective of a research organization. We document best practices and limitations of using the MovieLens datasets in new research.
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