@inproceedings{f0e28994851f4bfda640c2809401f04d,
title = "RecSys 16 joint workshop on interfaces and human decision making for recommender systems",
abstract = "As intelligent interactive systems, recommender systems focus on determining predictions that fit 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 inuence 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. Methodologies for evaluating these aspects are also within the scope of the workshop.",
keywords = "Decision Biases, Evaluation Methods, Human Computer Interaction, Human Decision Making, Recommender Systems, User Interfaces",
author = "Peter Brusilovsky and Alexander Felfernig and Pasquale Lops and John O'Donovan and Giovanni Semeraro and Nava Tintarev",
year = "2016",
month = sep,
day = "7",
doi = "10.1145/2959100.2959199",
language = "English",
series = "RecSys 2016 - Proceedings of the 10th ACM Conference on Recommender Systems",
publisher = "Association of Computing Machinery",
pages = "413--414",
booktitle = "RecSys 2016 - Proceedings of the 10th ACM Conference on Recommender Systems",
address = "United States",
note = "10th ACM Conference on Recommender Systems, RecSys 2016 ; Conference date: 15-09-2016 Through 19-09-2016",
}