Understanding How People Use Natural Language to Ask for Recommendations: Query Dataset
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2016-05-12
2016-05-24
2016-05-24
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2016-10-05
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Title
Understanding How People Use Natural Language to Ask for Recommendations: Query Dataset
Published Date
2017-06-29
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Dataset
Human Subjects Data
Survey Data-Quantitative
Human Subjects Data
Survey Data-Quantitative
Abstract
This dataset describes subjects' initial and follow-up queries from the research paper "Understanding How People Use Natural Language to Ask for Recommendations", published in the ACM Conference on Recommender Systems (RecSys), 2017. The data were collected on movielens.org between May 12 and May 24, 2016.
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Referenced by
Jie Kang, Kyle Condi , Shuo Chang, Joseph A. Konstan, Loren Terveen, and F. Maxwell Harper. 2017. Understanding How People Use Natural Language to Ask for Recommendations. In Proceedings of RecSys ’17, Como, Italy, August 27-31, 2017, 9 pages.
https://doi.org/10.1145/3109859.3109873
https://doi.org/10.1145/3109859.3109873
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This material is based on work supported by the National Science Foundation under grants IIS-0964695, IIS-1017697, IIS-1111201, IIS- 1210863, and IIS-1218826, and by a grant from Google.
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Kang, Jie; Condiff, Kyle; Chang, Shuo; Konstan, Joseph A; Terveen, Loren; Harper, F Maxwell. (2017). Understanding How People Use Natural Language to Ask for Recommendations: Query Dataset. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/D6VT0F.
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responses.csv
Subjects' queries and survey responses
(23.98 KB)
README.txt
Description of data
(3.34 KB)
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