RecSys'17 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems

Peter Brusilovsky; Marco de Gemmis; Alexander Felfernig; Pasquale Lops; John O'Donovan; Nava Tintarev; Martijn Willemsen

doi:10.1145/3109859.3109961

RecSys'17 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems

Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Nava Tintarev, Martijn Willemsen

Web Information Systems

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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.

Original language	English
Title of host publication	Proceedings of the 11th ACM Conference on Recommender Systems, RecSys 2017
Place of Publication	New York, NY
Publisher	Association for Computing Machinery (ACM)
Pages	384-385
Number of pages	2
ISBN (Electronic)	978-1-4503-4652-8
DOIs	https://doi.org/10.1145/3109859.3109961
Publication status	Published - 2017
Event	RecSys 2017 Workshop on Recommendation in Complex Scenarios: co-located with 11th ACM Conference on Recommender Systems (RecSys 2017) - Como, Italy Duration: 31 Aug 2017 → 31 Aug 2017

Workshop

Workshop	RecSys 2017 Workshop on Recommendation in Complex Scenarios
Country/Territory	Italy
City	Como
Period	31/08/17 → 31/08/17

Access to Document

10.1145/3109859.3109961

Cite this

Brusilovsky, P., de Gemmis, M., Felfernig, A., Lops, P., O'Donovan, J., Tintarev, N., & Willemsen, M. (2017). RecSys'17 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems. In Proceedings of the 11th ACM Conference on Recommender Systems, RecSys 2017 (pp. 384-385). Association for Computing Machinery (ACM). https://doi.org/10.1145/3109859.3109961

@inproceedings{fd546107019e4685b868e1961a152922,

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",

doi = "10.1145/3109859.3109961",

language = "English",

pages = "384--385",

booktitle = "Proceedings of the 11th ACM Conference on Recommender Systems, RecSys 2017",

publisher = "Association for Computing Machinery (ACM)",

address = "United States",

note = "RecSys 2017 Workshop on Recommendation in Complex Scenarios : co-located with 11th ACM Conference on Recommender Systems (RecSys 2017) ; Conference date: 31-08-2017 Through 31-08-2017",

}

Brusilovsky, P, de Gemmis, M, Felfernig, A, Lops, P, O'Donovan, J, Tintarev, N & Willemsen, M 2017, RecSys'17 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems. in Proceedings of the 11th ACM Conference on Recommender Systems, RecSys 2017. Association for Computing Machinery (ACM), New York, NY, pp. 384-385, RecSys 2017 Workshop on Recommendation in Complex Scenarios, Como, Italy, 31/08/17. https://doi.org/10.1145/3109859.3109961

RecSys'17 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems. / Brusilovsky, Peter; de Gemmis, Marco; Felfernig, Alexander et al.
Proceedings of the 11th ACM Conference on Recommender Systems, RecSys 2017. New York, NY: Association for Computing Machinery (ACM), 2017. p. 384-385.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - RecSys'17 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems

AU - Brusilovsky, Peter

AU - de Gemmis, Marco

AU - Felfernig, Alexander

AU - Lops, Pasquale

AU - O'Donovan, John

AU - Tintarev, Nava

AU - Willemsen, Martijn

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85030484767&partnerID=8YFLogxK

U2 - 10.1145/3109859.3109961

DO - 10.1145/3109859.3109961

M3 - Conference contribution

AN - SCOPUS:85030484767

SP - 384

EP - 385

BT - Proceedings of the 11th ACM Conference on Recommender Systems, RecSys 2017

PB - Association for Computing Machinery (ACM)

CY - New York, NY

T2 - RecSys 2017 Workshop on Recommendation in Complex Scenarios

Y2 - 31 August 2017 through 31 August 2017

ER -

RecSys'17 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems

Abstract

Workshop

Access to Document

Other files and links

Fingerprint

Cite this