@inproceedings{d7a9289d4343492296ed876ebac4d963,
title = "REcSys'19 joint workshop on interfaces and human decision making for recommender systems",
abstract = "As an interactive intelligent system, recommender systems are developed to give recommendations that match users' preferences. Since the emergence of recommender systems, a large majority of research focuses on objective accuracy criteria and less attention has been paid to how users interact with the system and the efcacy of interface designs from users' perspectives. The feld has reached a point where it is ready to look beyond algorithms, into users' interactions, decision making processes, and overall experience. This workshop will focus on the {"}human side{"} of recommender systems research. The workshop goal is to improve users' overall experience with recommender systems by integrating diferent theories of human decision making into the construction of recommender systems and exploring better interfaces for recommender systems.",
keywords = "Decision Biases, Evaluation Methods, Human Computer Interaction, Human Decision Making, Recommender Systems, User Interfaces",
author = "Peter Brusilovsky and {De Gemmis}, Marco and Alexander Felfernig and Pasquale Lops and John O'Donovan and Giovanni Semeraro and Willemsen, {Martijn C.}",
year = "2019",
month = sep,
day = "10",
doi = "10.1145/3298689.3346971",
language = "English",
series = "RecSys 2019 - 13th ACM Conference on Recommender Systems",
publisher = "Association of Computing Machinery",
pages = "560--561",
booktitle = "RecSys 2019 - 13th ACM Conference on Recommender Systems",
address = "United States",
note = "13th ACM Conference on Recommender Systems : RecSys 2019 ; Conference date: 16-09-2019 Through 20-09-2019",
}