The effectiveness of user-centric social interfaces on evaluating mobile recommendations

Jaewon Choi; Hong Joo Lee

doi:10.1145/2971603.2971622

The effectiveness of user-centric social interfaces on evaluating mobile recommendations

Jaewon Choi, Hong Joo Lee

Business Administration

Soonchunhyang University

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

Abstract

Many studies on recommender systems have focused on increasing their accuracy by enhancing the algorithms employed. Social perceptions, however, influence both satisfaction and perceived accuracy of mobile recommender systems. Thus, the aim of this study was to investigate the importance of including reasons for particular recommendations by examining the role of social presence and self-reference and their effects on user evaluations of mobile recommender systems. We performed a 2 x 2 experimental setting (Four experimental web pages with user-to-user and item-to-item collaborative filtering) which was used to manipulate customer perception of accuracy through social presence and self-reference. Social presence and self-reference were shown to be antecedents of perceived accuracy of mobile recommender systems. Additionally, perceived accuracy appeared to be a partial mediator of the relationship between social presence and satisfaction, whereas perceived accuracy appeared to be a full mediator of the relationship between self-reference and satisfaction.

Original language	English
Title of host publication	Proceedings of the 18th Annual International Conference on Electronic Commerce
Subtitle of host publication	e-Commerce in Smart connected World, ICEC 2016
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450342223
DOIs	https://doi.org/10.1145/2971603.2971622
State	Published - 17 Aug 2016
Event	18th International Conference on Electronic Commerce, ICEC 2016 - Suwon, Korea, Republic of Duration: 17 Aug 2016 → 19 Aug 2016

Publication series

Name	ACM International Conference Proceeding Series
Volume	17-19-August-2016

Conference

Conference	18th International Conference on Electronic Commerce, ICEC 2016
Country/Territory	Korea, Republic of
City	Suwon
Period	17/08/16 → 19/08/16

Bibliographical note

Publisher Copyright:
© 2016 ACM.

Keywords

Mobile recommender systems
Perceived accuracy
Personalization
Self-reference
Social presence

Access to Document

10.1145/2971603.2971622

Cite this

Choi, J., & Lee, H. J. (2016). The effectiveness of user-centric social interfaces on evaluating mobile recommendations. In Proceedings of the 18th Annual International Conference on Electronic Commerce: e-Commerce in Smart connected World, ICEC 2016 Article 2971622 (ACM International Conference Proceeding Series; Vol. 17-19-August-2016). Association for Computing Machinery. https://doi.org/10.1145/2971603.2971622

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year = "2016",

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doi = "10.1145/2971603.2971622",

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Choi, J & Lee, HJ 2016, The effectiveness of user-centric social interfaces on evaluating mobile recommendations. in Proceedings of the 18th Annual International Conference on Electronic Commerce: e-Commerce in Smart connected World, ICEC 2016., 2971622, ACM International Conference Proceeding Series, vol. 17-19-August-2016, Association for Computing Machinery, 18th International Conference on Electronic Commerce, ICEC 2016, Suwon, Korea, Republic of, 17/08/16. https://doi.org/10.1145/2971603.2971622

The effectiveness of user-centric social interfaces on evaluating mobile recommendations. / Choi, Jaewon; Lee, Hong Joo.
Proceedings of the 18th Annual International Conference on Electronic Commerce: e-Commerce in Smart connected World, ICEC 2016. Association for Computing Machinery, 2016. 2971622 (ACM International Conference Proceeding Series; Vol. 17-19-August-2016).

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

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The effectiveness of user-centric social interfaces on evaluating mobile recommendations

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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