Understanding How People Use Natural Language to Ask for Recommendations: Query Dataset

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Collection period

2016-05-12
2016-05-24

Date completed

2016-10-05

Date updated

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Source information

Journal Title

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Title

Understanding How People Use Natural Language to Ask for Recommendations: Query Dataset

Published Date

2017-06-29

Type

Dataset
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.

Description

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

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Funding information

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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Previously Published Citation

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Suggested citation

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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