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ACM Transactions on Interactive Intelligent Systems· 2015Q2

The MovieLens Datasets

F. Maxwell Harper, Joseph A. Konstan

Short summary

The MovieLens datasets, originating from a 1997 movie recommendation system, are widely used in education, research, and industry, with hundreds of thousands of annual downloads.

AI-generated from the title and abstract; the full text is not read.

Key points

  • MovieLens datasets have been in use since 1997.
  • They are downloaded hundreds of thousands of times annually.
  • The datasets are used in education, research, industry, and popular press.
  • The paper discusses lessons learned from running a live research platform.
  • Best practices and limitations for using the datasets are documented.

AI-generated from the title and abstract; the full text is not read.

Abstract

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.

The authors' abstract, as published at the source. ACM Transactions on Interactive Intelligent Systems, 2015 · DOI ↗

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Field: Information Systems

Information SystemsComputer Science