research-article

Visualizing Reviews Summaries as a Tool for Restaurants Recommendation

Authors:

Osnat MokrynAuthors Info & Claims

IUI '18: Proceedings of the 23rd International Conference on Intelligent User Interfaces

Pages 607 - 616

https://doi.org/10.1145/3172944.3172947

Published: 05 March 2018 Publication History

Abstract

Online customers opinions about products and services, in the form of reviews, are a major part of today's web culture. However, customers, when looking for a product or service, do not have the time or the desire to read even a small part of the available product reviews (which themselves may be lengthy and not easy to read). Moreover, they often would like to examine reviews of similar products, and get a comprehensive picture of how different aspects of these products compare. In this work, by introducing a generic framework for analyzing and presenting a visual summary based on comparative sentences extracted from customer reviews, we offer the user an easy and intuitive understanding of the differences between a set of products. The contribution of this study is twofold: First, it focuses on reviews of intangible services (using the restaurant domain as a case study), unlike most of the related studies that consider physical products. Second, it combines state-of-the-art text analysis techniques with an intuitive visualization into an easy to use prototype to visualize summarized service comparisons to the users.

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Cited By

Warner JPavel ANguyen TAgrawala MHartmann B(2023)SlideSpecs: Automatic and Interactive Presentation Feedback CollationProceedings of the 28th International Conference on Intelligent User Interfaces10.1145/3581641.3584035(695-709)Online publication date: 27-Mar-2023
https://dl.acm.org/doi/10.1145/3581641.3584035
Park SChae DBae HPark SKim SSelcuk Candan KLiu HAkoglu LLuna Dong XTang J(2022)Reinforcement Learning over Sentiment-Augmented Knowledge Graphs towards Accurate and Explainable RecommendationProceedings of the Fifteenth ACM International Conference on Web Search and Data Mining10.1145/3488560.3498515(784-793)Online publication date: 11-Feb-2022
https://dl.acm.org/doi/10.1145/3488560.3498515
Chehal DGupta PGulati P(2020)RETRACTED ARTICLE: Implementation and comparison of topic modeling techniques based on user reviews in e-commerce recommendationsJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-020-01956-612:5(5055-5070)Online publication date: 16-Apr-2020
https://doi.org/10.1007/s12652-020-01956-6
Show More Cited By

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Published In

cover image ACM Conferences

IUI '18: Proceedings of the 23rd International Conference on Intelligent User Interfaces

March 2018

698 pages

ISBN:9781450349451

DOI:10.1145/3172944

General Chairs:
Shlomo Berkovsky
CSIRO, Australia
,
Yoshinori Hijikata
Kwansei Gakuin University, Japan
,
Jun Rekimoto
University of Tokyo, Japan
,
Program Chairs:
Margaret Burnett
Oregon State University, USA
,
Mark Billinghurst
University of South Australia, Australia
,
Aaron Quigley
University of St Andrews, UK

Copyright © 2018 ACM.

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New York, NY, United States

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Published: 05 March 2018

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IUI'18

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IUI'18: 23rd International Conference on Intelligent User Interfaces

March 7 - 11, 2018

Tokyo, Japan

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IUI '18 Paper Acceptance Rate 43 of 299 submissions, 14%;

Overall Acceptance Rate 746 of 2,811 submissions, 27%

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30th International Conference on Intelligent User Interfaces

March 24 - 27, 2025

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Cited By

Warner JPavel ANguyen TAgrawala MHartmann B(2023)SlideSpecs: Automatic and Interactive Presentation Feedback CollationProceedings of the 28th International Conference on Intelligent User Interfaces10.1145/3581641.3584035(695-709)Online publication date: 27-Mar-2023
https://dl.acm.org/doi/10.1145/3581641.3584035
Park SChae DBae HPark SKim SSelcuk Candan KLiu HAkoglu LLuna Dong XTang J(2022)Reinforcement Learning over Sentiment-Augmented Knowledge Graphs towards Accurate and Explainable RecommendationProceedings of the Fifteenth ACM International Conference on Web Search and Data Mining10.1145/3488560.3498515(784-793)Online publication date: 11-Feb-2022
https://dl.acm.org/doi/10.1145/3488560.3498515
Chehal DGupta PGulati P(2020)RETRACTED ARTICLE: Implementation and comparison of topic modeling techniques based on user reviews in e-commerce recommendationsJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-020-01956-612:5(5055-5070)Online publication date: 16-Apr-2020
https://doi.org/10.1007/s12652-020-01956-6
Watson KSohn SSchriber SGross MMuniz CKapadia MFu WPan SBrdiczka OChau PCalvary G(2019)StoryPrintProceedings of the 24th International Conference on Intelligent User Interfaces10.1145/3301275.3302302(303-311)Online publication date: 17-Mar-2019
https://dl.acm.org/doi/10.1145/3301275.3302302

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