@inproceedings{e5cbb2508f2648d4a730a5858ae7059a,
title = "RecSys'17 joint workshop on interfaces and human decision making for recommender systems",
abstract = "As intelligent interactive systems, recommender systems focus on determining predictions thatfit the wishes and needs of users. Still, a large majority of recommender systems research focuses on accuracy criteria and much less attention is paid to how users interact with the system, and in which way the user interface has an influence on the selection behavior of the users. Consequently, it is important to look beyond algorithms. The main goals of the IntRS workshop are to analyze the impact of user interfaces and interaction design, and to explore human interaction with recommender systems from a human decision making perspective. Methodologies for evaluating these aspects are also within the scope of the workshop.",
author = "Peter Brusilovsky and {De Gemmis}, Marco and Alexander Felfernig and Pasquale Lops and John O'Donovan and Nava Tintarev and Martijn Willemsen",
year = "2017",
month = aug,
day = "27",
doi = "10.1145/3109859.3109961",
language = "English",
series = "RecSys 2017 - Proceedings of the 11th ACM Conference on Recommender Systems",
publisher = "Association of Computing Machinery",
pages = "384--385",
booktitle = "RecSys 2017 - Proceedings of the 11th ACM Conference on Recommender Systems",
address = "United States",
note = "11th ACM Conference on Recommender Systems, RecSys 2017 : RecSys 2017, RecSys 17 ; Conference date: 27-08-2017 Through 31-08-2017",
}