RecSys '19 joint workshop on interfaces and human decision making for recommender systems

Peter Brusilovsky; Marco de Gemmis; Alexander Felfernig; Pasquale Lops; John O'Donovan; Giovanni Semeraro; Martijn C. Willemsen

doi:10.1145/3298689.3346971

RecSys '19 joint workshop on interfaces and human decision making for recommender systems

Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen

Human Technology Interaction

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic

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 efficacy of interface designs from users' perspectives. The field 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 different theories of human decision making into the construction of recommender systems and exploring better interfaces for recommender systems.

Original language	English
Title of host publication	RecSys 2019 - 13th ACM Conference on Recommender Systems
Place of Publication	New York
Publisher	Association for Computing Machinery, Inc
Pages	560-561
Number of pages	2
ISBN (Electronic)	9781450362436
ISBN (Print)	978-1-4503-6243-6
DOIs	https://doi.org/10.1145/3298689.3346971
Publication status	Published - 10 Sept 2019
Event	13th ACM Conference on Recommender Systems, RecSys 2019 - Copenhagen, Denmark Duration: 16 Sept 2019 → 20 Sept 2019 Conference number: 13

Conference

Conference	13th ACM Conference on Recommender Systems, RecSys 2019
Abbreviated title	RecSys 2019
Country/Territory	Denmark
City	Copenhagen
Period	16/09/19 → 20/09/19

Keywords

decision biases, evaluation methods, human computer interaction, human decision making, recommender systems, user interfaces
Recommender Systems
User Interfaces
Evaluation Methods
Human Decision Making
Decision Biases
Human Computer Interaction

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10.1145/3298689.3346971

Cite this

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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 efficacy of interface designs from users' perspectives. The field 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 different 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, Recommender Systems, User Interfaces, Evaluation Methods, Human Decision Making, Decision Biases, Human Computer Interaction",

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",

isbn = "978-1-4503-6243-6",

pages = "560--561",

booktitle = "RecSys 2019 - 13th ACM Conference on Recommender Systems",

publisher = "Association for Computing Machinery, Inc",

address = "United States",

note = " 13th ACM Conference on Recommender Systems, RecSys 2019, RecSys 2019 ; Conference date: 16-09-2019 Through 20-09-2019",

}

Brusilovsky, P, de Gemmis, M, Felfernig, A, Lops, P, O'Donovan, J, Semeraro, G & Willemsen, MC 2019, RecSys '19 joint workshop on interfaces and human decision making for recommender systems. in RecSys 2019 - 13th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc, New York, pp. 560-561, 13th ACM Conference on Recommender Systems, RecSys 2019, Copenhagen, Denmark, 16/09/19. https://doi.org/10.1145/3298689.3346971

RecSys '19 joint workshop on interfaces and human decision making for recommender systems. / Brusilovsky, Peter; de Gemmis, Marco; Felfernig, Alexander et al.
RecSys 2019 - 13th ACM Conference on Recommender Systems. New York: Association for Computing Machinery, Inc, 2019. p. 560-561.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic

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AU - Brusilovsky, Peter

AU - de Gemmis, Marco

AU - Felfernig, Alexander

AU - Lops, Pasquale

AU - O'Donovan, John

AU - Semeraro, Giovanni

AU - Willemsen, Martijn C.

N1 - Conference code: 13

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AB - 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 efficacy of interface designs from users' perspectives. The field 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 different theories of human decision making into the construction of recommender systems and exploring better interfaces for recommender systems.

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KW - User Interfaces

KW - Evaluation Methods

KW - Human Decision Making

KW - Decision Biases

KW - Human Computer Interaction

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M3 - Conference contribution

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BT - RecSys 2019 - 13th ACM Conference on Recommender Systems

PB - Association for Computing Machinery, Inc

CY - New York

T2 - 13th ACM Conference on Recommender Systems, RecSys 2019

Y2 - 16 September 2019 through 20 September 2019

ER -

RecSys '19 joint workshop on interfaces and human decision making for recommender systems

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