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Rating support interfaces to improve user experience and recommender accuracy

Overview of attention for article published in Proceedings of the 7th ACM conference on Recommender systems - RecSys '13, January 2013
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Mentioned by

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2 tweeters

Citations

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19 Dimensions

Readers on

mendeley
54 Mendeley
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1 CiteULike
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Title
Rating support interfaces to improve user experience and recommender accuracy
Published in
Proceedings of the 7th ACM conference on Recommender systems - RecSys '13, January 2013
DOI 10.1145/2507157.2507188
Authors

Tien T. Nguyen, Daniel Kluver, Ting-Yu Wang, Pik-Mai Hui, Michael D. Ekstrand, Martijn C. Willemsen, John Riedl

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 4%
Denmark 1 2%
United Kingdom 1 2%
Spain 1 2%
United States 1 2%
Hungary 1 2%
Netherlands 1 2%
Austria 1 2%
Unknown 45 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 28%
Student > Master 14 26%
Researcher 10 19%
Student > Bachelor 6 11%
Professor > Associate Professor 4 7%
Other 5 9%
Readers by discipline Count As %
Computer Science 42 78%
Engineering 3 6%
Psychology 3 6%
Philosophy 1 2%
Business, Management and Accounting 1 2%
Other 4 7%