@inproceedings{361bb956ec3149e8b9466d2f0bb91184,
title = "Rating support interfaces to improve user experience and recommender accuracy",
abstract = "One of the challenges for recommender systems is that users struggle to accurately map their internal preferences to ex- ternal measures of quality such as ratings. We study two methods for supporting the mapping process: (i) reminding the user of characteristics of items by providing personalized tags and (ii) relating rating decisions to prior rating decisions using exemplars. In our study, we introduce interfaces that provide these methods of support. We also present a set of methodologies to evaluate the efficacy of the new interfaces via a user experiment. Our results suggest that presenting exemplars during the rating process helps users rate more consistently, and increases the quality of the data.",
keywords = "Cognitive load, Experimentation, Human factors, Inter- face design, Preference elicitation, Recommendation accuracy, User experience",
author = "Nguyen, \{Tien T.\} and Daniel Kluver and Wang, \{Ting Yu\} and Hui, \{Pik Mai\} and Ekstrand, \{Michael D.\} and Willemsen, \{Martijn C.\} and John Riedl",
year = "2013",
doi = "10.1145/2507157.2507188",
language = "English (US)",
isbn = "9781450324090",
series = "RecSys 2013 - Proceedings of the 7th ACM Conference on Recommender Systems",
pages = "149--156",
booktitle = "RecSys 2013 - Proceedings of the 7th ACM Conference on Recommender Systems",
note = "7th ACM Conference on Recommender Systems, RecSys 2013 ; Conference date: 12-10-2013 Through 16-10-2013",
}