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

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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.

Original language	English
Title of host publication	RecSys 2021 - 15th ACM Conference on Recommender Systems
Place of Publication	New York, NY, USA
Publisher	Association of Computing Machinery
Pages	645–650
Number of pages	6
ISBN (Electronic)	9781450384582
ISBN (Print)	9781450384582
DOIs	https://doi.org/10.1145/3460231.3478859
Publication status	Published - 13 Sept 2021
Event	15th ACM Conference on Recommender Systems: RECSYS 2021 - Amsterdam, Netherlands Duration: 27 Sept 2021 → 1 Oct 2021

Conference

Conference	15th ACM Conference on Recommender Systems
Abbreviated title	RECSYS 2021
Country/Territory	Netherlands
City	Amsterdam
Period	27/09/21 → 1/10/21

Keywords

Content-based Explanation
Demographic-based Explanation
Explanations
Feature-based Explanation
Knowledge-based Explanation.
Movie Recommender Systems
Collaborative Filtering-based Explanation

ASJC Scopus subject areas

Control and Systems Engineering
Hardware and Architecture
Computer Networks and Communications

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10.1145/3460231.3478859

https://doi.org/10.1145/3460231.3478859

Cite this

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. p. 645–650.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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, pp. 645–650, 15th ACM Conference on Recommender Systems, Amsterdam, Netherlands, 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",

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pages = "645–650",

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

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

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AU - Tran, Thi Ngoc Trang

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AU - Atas, Müslüm

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AU - Stettinger, Martin

AU - Popescu, Andrei

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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

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

PB - Association of Computing Machinery

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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

Conference

Keywords

ASJC Scopus subject areas

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