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Exploring the mechanisms behind the assessment of usefulness of restaurant reviews

Published: 27 June 2015 Publication History

Abstract

Local online reviews such as Yelp have become large repositories of information, thus making it difficult for readers to find the most useful content. Our work investigates the factors that influence the readers' judgment of usefulness of restaurant reviews. We focus on assessing the mechanism behind the users' assessment of usefulness of reviews, particularly with respect to reviews provided by reviewers with local knowledge. We collected 160 manual annotations of 36 unique restaurant reviews and we interviewed ten participants. Our results show that users are able to detect reviews written by knowledgeable locals, and they perceive reviews provided by locals more useful not because they provide more valuable content but because local knowledge results in higher trust. We discuss design implications of these findings for helping readers to overcome information overload in local systems.

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Cited By

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  • (2021)Multi-criteria tensor model consolidating spatial and temporal information for tourism recommendationJournal of Ambient Intelligence and Smart Environments10.3233/AIS-20058413:1(5-19)Online publication date: 1-Jan-2021
  • (2017)Situated AnonymityProceedings of the 2017 CHI Conference on Human Factors in Computing Systems10.1145/3025453.3025682(6912-6924)Online publication date: 2-May-2017
  • (2015)Restaurant search with predictive multispace queriesProceedings of the 17th International Conference on Information Integration and Web-based Applications & Services10.1145/2837185.2837193(1-9)Online publication date: 11-Dec-2015

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    cover image ACM Other conferences
    C&T '15: Proceedings of the 7th International Conference on Communities and Technologies
    June 2015
    167 pages
    ISBN:9781450334600
    DOI:10.1145/2768545
    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]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 27 June 2015

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    Author Tags

    1. hyper-local
    2. restaurant reviews
    3. urban informatics

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    C&T '15
    C&T '15: Communities and Technologies 2015
    June 27 - 30, 2015
    Limerick, Ireland

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    View all
    • (2021)Multi-criteria tensor model consolidating spatial and temporal information for tourism recommendationJournal of Ambient Intelligence and Smart Environments10.3233/AIS-20058413:1(5-19)Online publication date: 1-Jan-2021
    • (2017)Situated AnonymityProceedings of the 2017 CHI Conference on Human Factors in Computing Systems10.1145/3025453.3025682(6912-6924)Online publication date: 2-May-2017
    • (2015)Restaurant search with predictive multispace queriesProceedings of the 17th International Conference on Information Integration and Web-based Applications & Services10.1145/2837185.2837193(1-9)Online publication date: 11-Dec-2015

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