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

Published: 17 August 2016 Publication History
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  • 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.

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    Published In

    cover image ACM Other conferences
    ICEC '16: Proceedings of the 18th Annual International Conference on Electronic Commerce: e-Commerce in Smart connected World
    August 2016
    311 pages
    ISBN:9781450342223
    DOI:10.1145/2971603
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Sponsors

    • BigBang Angels: BigBang Angels
    • Benple: Benple
    • Women's News Inc.: Women's News Inc.
    • FKII: The Federation of Korean Infomation Industries
    • Korea Internet Corporations Association: Korea Internet Corporations Association
    • KOFST: Korean Federation of Science and Technology Societies
    • NIA: National Information Society Agency, Republic of Korea
    • HAREX: HAREX InfoTech Inc.
    • Haitai: Haitai Confectionery & Foods Co., Ltd.
    • KTO: Korea Tourism Organization
    • G-MICE Bureau: Gyeonggi MICE Bureau
    • IT Daily: ITMG Corp.
    • Suwon City: Suwon City
    • ALLWIN: ALLWIN
    • DIPA: Digital Industry Promotion Agency of Yongin City
    • Tech M: Moneytoday Network Inc.

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 17 August 2016

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    Author Tags

    1. mobile recommender systems
    2. perceived accuracy
    3. personalization
    4. self-reference
    5. social presence

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    • Research-article

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    ICEC '16
    Sponsor:
    • BigBang Angels
    • Benple
    • Women's News Inc.
    • FKII
    • Korea Internet Corporations Association
    • KOFST
    • NIA
    • HAREX
    • Haitai
    • KTO
    • G-MICE Bureau
    • IT Daily
    • Suwon City
    • ALLWIN
    • DIPA
    • Tech M
    ICEC '16: International Conference on Electronic Commerce 2016
    August 17 - 19, 2016
    Suwon, Republic of Korea

    Acceptance Rates

    ICEC '16 Paper Acceptance Rate 44 of 55 submissions, 80%;
    Overall Acceptance Rate 150 of 244 submissions, 61%

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