Do Users Appreciate Explanations of Recommendations? An Analysis in the Movie Domain

Thi Ngoc Trang Tran; Viet Man Le; Müslüm Atas; Alexander Felfernig; Martin Stettinger; Andrei Popescu

doi:10.1145/3460231.3478859

Do Users Appreciate Explanations of Recommendations? An Analysis in the Movie Domain

Thi Ngoc Trang Tran, Viet Man Le, Müslüm Atas, Alexander Felfernig, Martin Stettinger, Andrei Popescu

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Abstract

In this paper, we provide insights into users’ needs regarding the inclusion of explanations in a movie recommender system. We have developed different variants of a movie recommender system prototype corresponding to different types of explanations and conducted an online user study to evaluate related explanations. The experimental results show that users do not always appreciate explanations. They want to see explanations when they are not satisfied with the recommended items. They expect to see explanations showing how well the recommended item meets their preferences. Moreover, explanation goals are interdependent and affect the overall satisfaction of users with the recommender system.

Originalsprache	englisch
Titel	RecSys 2021 - 15th ACM Conference on Recommender Systems
Erscheinungsort	New York, NY, USA
Herausgeber (Verlag)	Association of Computing Machinery
Seiten	645–650
Seitenumfang	6
ISBN (elektronisch)	9781450384582
ISBN (Print)	9781450384582
DOIs	https://doi.org/10.1145/3460231.3478859
Publikationsstatus	Veröffentlicht - 13 Sept. 2021
Veranstaltung	15th ACM Conference on Recommender Systems: RECSYS 2021 - Amsterdam, Niederlande Dauer: 27 Sept. 2021 → 1 Okt. 2021

Konferenz

Konferenz	15th ACM Conference on Recommender Systems
Kurztitel	RECSYS 2021
Land/Gebiet	Niederlande
Ort	Amsterdam
Zeitraum	27/09/21 → 1/10/21

ASJC Scopus subject areas

Steuerungs- und Systemtechnik
Hardware und Architektur
Computernetzwerke und -kommunikation

Zugriff auf Dokument

10.1145/3460231.3478859

https://doi.org/10.1145/3460231.3478859

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http://www.scopus.com/inward/record.url?scp=85115660892&partnerID=8YFLogxK

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Do Users Appreciate Explanations of Recommendations? An Analysis in the Movie Domain. / Tran, Thi Ngoc Trang ; Le, Viet Man; Atas, Müslüm et al.
RecSys 2021 - 15th ACM Conference on Recommender Systems. New York, NY, USA: Association of Computing Machinery, 2021. S. 645–650.

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Tran, TNT , Le, VM, Atas, M, Felfernig, A , Stettinger, M & Popescu, A 2021, Do Users Appreciate Explanations of Recommendations? An Analysis in the Movie Domain. in RecSys 2021 - 15th ACM Conference on Recommender Systems. Association of Computing Machinery, New York, NY, USA, S. 645–650, 15th ACM Conference on Recommender Systems, Amsterdam, Niederlande, 27/09/21. https://doi.org/10.1145/3460231.3478859

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title = "Do Users Appreciate Explanations of Recommendations? An Analysis in the Movie Domain",

abstract = "In this paper, we provide insights into users{\textquoteright} needs regarding the inclusion of explanations in a movie recommender system. We have developed different variants of a movie recommender system prototype corresponding to different types of explanations and conducted an online user study to evaluate related explanations. The experimental results show that users do not always appreciate explanations. They want to see explanations when they are not satisfied with the recommended items. They expect to see explanations showing how well the recommended item meets their preferences. Moreover, explanation goals are interdependent and affect the overall satisfaction of users with the recommender system.",

keywords = "Content-based Explanation, Demographic-based Explanation, Explanations, Feature-based Explanation, Knowledge-based Explanation., Movie Recommender Systems, Collaborative Filtering-based Explanation",

author = "Tran, {Thi Ngoc Trang} and Le, {Viet Man} and M{\"u}sl{\"u}m Atas and Alexander Felfernig and Martin Stettinger and Andrei Popescu",

year = "2021",

month = sep,

day = "13",

doi = "10.1145/3460231.3478859",

language = "English",

isbn = "9781450384582",

pages = "645–650",

booktitle = "RecSys 2021 - 15th ACM Conference on Recommender Systems",

publisher = "Association of Computing Machinery",

address = "United States",

note = "15th ACM Conference on Recommender Systems : RECSYS 2021, RECSYS 2021 ; Conference date: 27-09-2021 Through 01-10-2021",

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TY - GEN

T1 - Do Users Appreciate Explanations of Recommendations? An Analysis in the Movie Domain

AU - Tran, Thi Ngoc Trang

AU - Le, Viet Man

AU - Atas, Müslüm

AU - Felfernig, Alexander

AU - Stettinger, Martin

AU - Popescu, Andrei

PY - 2021/9/13

Y1 - 2021/9/13

N2 - In this paper, we provide insights into users’ needs regarding the inclusion of explanations in a movie recommender system. We have developed different variants of a movie recommender system prototype corresponding to different types of explanations and conducted an online user study to evaluate related explanations. The experimental results show that users do not always appreciate explanations. They want to see explanations when they are not satisfied with the recommended items. They expect to see explanations showing how well the recommended item meets their preferences. Moreover, explanation goals are interdependent and affect the overall satisfaction of users with the recommender system.

AB - In this paper, we provide insights into users’ needs regarding the inclusion of explanations in a movie recommender system. We have developed different variants of a movie recommender system prototype corresponding to different types of explanations and conducted an online user study to evaluate related explanations. The experimental results show that users do not always appreciate explanations. They want to see explanations when they are not satisfied with the recommended items. They expect to see explanations showing how well the recommended item meets their preferences. Moreover, explanation goals are interdependent and affect the overall satisfaction of users with the recommender system.

KW - Content-based Explanation

KW - Demographic-based Explanation

KW - Explanations

KW - Feature-based Explanation

KW - Knowledge-based Explanation.

KW - Movie Recommender Systems

KW - Collaborative Filtering-based Explanation

UR - http://www.scopus.com/inward/record.url?scp=85115660892&partnerID=8YFLogxK

U2 - 10.1145/3460231.3478859

DO - 10.1145/3460231.3478859

M3 - Conference paper

SN - 9781450384582

SP - 645

EP - 650

BT - RecSys 2021 - 15th ACM Conference on Recommender Systems

PB - Association of Computing Machinery

CY - New York, NY, USA

T2 - 15th ACM Conference on Recommender Systems

Y2 - 27 September 2021 through 1 October 2021

ER -

Do Users Appreciate Explanations of Recommendations? An Analysis in the Movie Domain

Abstract

Konferenz

ASJC Scopus subject areas

Zugriff auf Dokument

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