Business Case Studies & Business Publications

MovieLens: Filtering on Others' Reaction...

Lichtendahl, Kenne...

Case

MovieLens: Filtering on Others' Reactions

Lichtendahl, Kenneth C. Jr.; Boatright, Benjamin; Holtz, Paul

QA-0927 | Published August 17, 2021 | 6 pages Case

Collection: Darden School of Business

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This case introduces students to relational databases and the basics of collaborative filtering, a popular recommendation system technique. The case points to a dataset shared by GroupLens, a research group developing algorithms that supply movie recommendations through a website called MovieLens. SQL queries provided in the case propose a collaborative filtering strategy for generating simple recommendations with a small degree of personalization. The basic method offered in the case opens the door for students to improve the supplied queries or develop a more elaborate algorithm altogether for generating recommendations.