Recommendation System for a Delivery Food Application Based on Number of Orders
CN Sánchez, J Domínguez-Soberanes, A Arreola… - Applied Sciences, 2023 - mdpi.com
With the recent growth in food-delivery applications, creating new recommendation systems
tailored to this platform is essential. State-of-the-art restaurant recommendation systems are
based on users' ratings or reviews, with data that are obtained from questionnaires or online
platforms such as TripAdvisor, Zomato, Foursquare, or Yield. However, not all users give
ratings or reviews after their purchase. This document proposes a recommendation system
whose input is the number of orders stored by a real food-delivery application. These data …
tailored to this platform is essential. State-of-the-art restaurant recommendation systems are
based on users' ratings or reviews, with data that are obtained from questionnaires or online
platforms such as TripAdvisor, Zomato, Foursquare, or Yield. However, not all users give
ratings or reviews after their purchase. This document proposes a recommendation system
whose input is the number of orders stored by a real food-delivery application. These data …
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