Judging Similarity: A User-Centric Study of Related Item Recommendations - Dataset
2018-08-02
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2018-03-21
2018-04-16
2018-04-16
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Title
Judging Similarity: A User-Centric Study of Related Item Recommendations - Dataset
Published Date
2018-08-02
Authors
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Harper, F Maxwell
max@umn.edu
max@umn.edu
Type
Dataset
Experimental Data
Survey Data-Qualitative
Survey Data-Quantitative
Experimental Data
Survey Data-Qualitative
Survey Data-Quantitative
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.
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https://doi.org/10.1145/3240323.3240351
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Amazon
Google
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Yao, Yuan; Harper, F Maxwell. (2018). Judging Similarity: A User-Centric Study of Related Item Recommendations - Dataset. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/D67700.
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| File View/Open | Description | Size |
|---|---|---|
| README.txt | Description of the Data | 5.95 KB |
| neighbors.csv | The 1000 "neighbors" generated by each of the six experimental algorithms | 289.47 KB |
| pair-responses.csv | Movie similarity and recommendation quality | 1.05 MB |
| survey-responses.csv | Survey responses about movie similarity and related item recommendations | 111.24 KB |
| test-set.csv | Test set of 100 "seed" movie IDs | 3.11 KB |
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