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Visualizing Reviews Summaries as a Tool for Restaurants Recommendation

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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  • (2020)RETRACTED ARTICLE: Implementation and comparison of topic modeling techniques based on user reviews in e-commerce recommendationsJournal of Ambient Intelligence and Humanized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
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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
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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Published: 05 March 2018

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Author Tags

  1. information visualization
  2. reviews summarization
  3. visualizing comparisons

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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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Cited By

View all
  • (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
  • (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
  • (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
  • (2019)StoryPrintProceedings of the 24th International Conference on Intelligent User Interfaces10.1145/3301275.3302302(303-311)Online publication date: 17-Mar-2019

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