Dataset from Judging Similarity: A User-Centric Study of Related Item Recommendations: Dataset

  • Max Harper (Creator)
  • Yuan Yao (Creator)

Dataset

Description

Abstract
This dataset describes survey results about the similarity of pairs of movies from the MovieLens recommender system. These data are described in the research paper "Judging Similarity: A User-Centric Study of Related Item Recommendations", published in the ACM Conference on Recommender Systems (RecSys), 2018. The data were collected between March 21 and April 16, 2018.

Funding information
Sponsorship: Amazon; Google
Date made available2018
PublisherData Repository for the University of Minnesota
Date of data productionMar 21 2018 - Apr 16 2018
  • Judging Similarity: A User-Centric Study of Related Item Recommendations

    Yao, Y. & Maxwell Harper, F., 2018, Proceedings of the 12th ACM Conference on Recommender Systems - RecSys '18. p. 288-296 9 p. (Proceedings of the 12th ACM Conference on Recommender Systems - RecSys '18).

    Research output: Chapter in Book/Report/Conference proceedingChapter

    11 Scopus citations

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