Proponents as the means to increase the uptake of recommendations

Rikako Matsushima; Yoshinori Hijikata; Shlomo Berkovsky

doi:10.1145/3627043.3659544

Proponents as the means to increase the uptake of recommendations

Rikako Matsushima, Yoshinori Hijikata, Shlomo Berkovsky

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

Abstract

While much research in recommender systems focused on improving the accuracy of recommendations, issues pertaining to their presentation have been under-explored. Considering the uptake of recommendations as one of their success indicators, we investigate the role of proponents in affecting user's decision to accept a recommendation. We refer to proponent as a person or avatar, advocating in favor of the recommended item. This paper reports on a user study that evaluated the impact of including several types of proponents in the recommender interface and their impact on the uptake of recommendations. We observe that out of the studied proponents, real-world contacts have the strongest impact on the uptake of recommendations, which can inform the design recommender system interfaces.

Original language	English
Title of host publication	UMAP 2024 - Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization
Place of Publication	USA
Publisher	Association for Computing Machinery, Inc
Pages	255-260
Number of pages	6
ISBN (Electronic)	9798400704338
DOIs	https://doi.org/10.1145/3627043.3659544
Publication status	Published - 22 Jun 2024
Event	32nd Conference on User Modeling, Adaptation and Personalization, UMAP 2024 - Cagliari, Italy Duration: 1 Jul 2024 → 4 Jul 2024

Conference

Conference	32nd Conference on User Modeling, Adaptation and Personalization, UMAP 2024
Country/Territory	Italy
City	Cagliari
Period	1/07/24 → 4/07/24

Keywords

explanations user study
Proponents
recommendations

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10.1145/3627043.3659544

Cite this

@inproceedings{6cbecd6990b14e1eaef2f70ae9112c34,

title = "Proponents as the means to increase the uptake of recommendations",

abstract = "While much research in recommender systems focused on improving the accuracy of recommendations, issues pertaining to their presentation have been under-explored. Considering the uptake of recommendations as one of their success indicators, we investigate the role of proponents in affecting user's decision to accept a recommendation. We refer to proponent as a person or avatar, advocating in favor of the recommended item. This paper reports on a user study that evaluated the impact of including several types of proponents in the recommender interface and their impact on the uptake of recommendations. We observe that out of the studied proponents, real-world contacts have the strongest impact on the uptake of recommendations, which can inform the design recommender system interfaces.",

keywords = "explanations user study, Proponents, recommendations",

author = "Rikako Matsushima and Yoshinori Hijikata and Shlomo Berkovsky",

year = "2024",

month = jun,

day = "22",

doi = "10.1145/3627043.3659544",

language = "English",

pages = "255--260",

booktitle = "UMAP 2024 - Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization",

publisher = "Association for Computing Machinery, Inc",

note = "32nd Conference on User Modeling, Adaptation and Personalization, UMAP 2024 ; Conference date: 01-07-2024 Through 04-07-2024",

}

Matsushima, R, Hijikata, Y & Berkovsky, S 2024, Proponents as the means to increase the uptake of recommendations. in UMAP 2024 - Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery, Inc, USA, pp. 255-260, 32nd Conference on User Modeling, Adaptation and Personalization, UMAP 2024, Cagliari, Italy, 1/07/24. https://doi.org/10.1145/3627043.3659544

Proponents as the means to increase the uptake of recommendations. / Matsushima, Rikako; Hijikata, Yoshinori; Berkovsky, Shlomo.
UMAP 2024 - Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization. USA: Association for Computing Machinery, Inc, 2024. p. 255-260.

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

TY - GEN

T1 - Proponents as the means to increase the uptake of recommendations

AU - Matsushima, Rikako

AU - Hijikata, Yoshinori

AU - Berkovsky, Shlomo

PY - 2024/6/22

Y1 - 2024/6/22

N2 - While much research in recommender systems focused on improving the accuracy of recommendations, issues pertaining to their presentation have been under-explored. Considering the uptake of recommendations as one of their success indicators, we investigate the role of proponents in affecting user's decision to accept a recommendation. We refer to proponent as a person or avatar, advocating in favor of the recommended item. This paper reports on a user study that evaluated the impact of including several types of proponents in the recommender interface and their impact on the uptake of recommendations. We observe that out of the studied proponents, real-world contacts have the strongest impact on the uptake of recommendations, which can inform the design recommender system interfaces.

AB - While much research in recommender systems focused on improving the accuracy of recommendations, issues pertaining to their presentation have been under-explored. Considering the uptake of recommendations as one of their success indicators, we investigate the role of proponents in affecting user's decision to accept a recommendation. We refer to proponent as a person or avatar, advocating in favor of the recommended item. This paper reports on a user study that evaluated the impact of including several types of proponents in the recommender interface and their impact on the uptake of recommendations. We observe that out of the studied proponents, real-world contacts have the strongest impact on the uptake of recommendations, which can inform the design recommender system interfaces.

KW - explanations user study

KW - Proponents

KW - recommendations

UR - https://www.scopus.com/pages/publications/85197863762

U2 - 10.1145/3627043.3659544

DO - 10.1145/3627043.3659544

M3 - Conference proceeding contribution

AN - SCOPUS:85197863762

SP - 255

EP - 260

BT - UMAP 2024 - Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization

PB - Association for Computing Machinery, Inc

CY - USA

T2 - 32nd Conference on User Modeling, Adaptation and Personalization, UMAP 2024

Y2 - 1 July 2024 through 4 July 2024

ER -

Proponents as the means to increase the uptake of recommendations

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