A Framework to Improve the Confidence of Restaurants User Reviews Based on Facial Analysis-Reference-Cited by-同舟云学术

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A Framework to Improve the Confidence of Restaurants User Reviews Based on Facial Analysis

Published:2023 Issue: Volume: Page:261-270
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Melo Pedro,Pereira Pedro,Saraiva Luzia,Henriques João,Pires Ivan Miguel,Wanzeller Cristina,Caldeira Filipe

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-38344-1_25

Reference25 articles.

1. Modern Restaurant Management. The Impact of Reviews on the Restaurant Market (2022). https://modernrestaurantmanagement.com/the-impact-of-reviews-on-the-restaurant-market-infographic/

2. Travel Addicts. TripAdvisor fake reviews: How to spot them (2022). https://traveladdicts.net/tripadvisor-fake-reviews/

3. Ecole hôtelière de Lausanne. Online Customer Reviews for Restaurants (2022). https://hospitalityinsights.ehl.edu/online-customer-reviews-restaurants

4. Rosenfeld, L., Morville, P.: Information Architecture for the World Wide Web. O’Reilly Media Inc, Sebastopol (2002)

5. Uber Eats (2022). https://www.ubereats.com/. Accessed 20 Jan 2022

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