Research output per year
Research output per year
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
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 available | 2018 |
|---|---|
| Publisher | Data Repository for the University of Minnesota |
| Date of data production | Mar 21 2018 - Apr 16 2018 |
Research output
- 1 Chapter
-
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 proceeding › Chapter
11 Scopus citations