TY - CONF
T1 - RecSys'16 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems
AU - Brusilovsky, P.
AU - Felfernig, A.
AU - Lops, P.
AU - O'Donovan, J.
AU - Semeraro, G.
AU - Tintarev, N.
AU - Willemsen, M.C.
PY - 2016
Y1 - 2016
N2 - 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 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. Methodologies for evaluating these aspects are also within the scope of the workshop.
AB - 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 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. Methodologies for evaluating these aspects are also within the scope of the workshop.
KW - decision biases, evaluation methods, human computer interaction, human decision making, recommender system, user interfaces
U2 - 10.1145/2959100.2959199
DO - 10.1145/2959100.2959199
M3 - Abstract
SP - 413
EP - 414
ER -