Data of collaborative consumption in online food delivery services
Miguel A. Segura, Juan C. Correa
Data in Brief · 2019
doi:10.1016/j.dib.2019.104007 (opens in a new tab)
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Abstract
This data article contains data regarding the collaborative consumption that takes place in an Online Food Delivery Platform that connects restaurants owners, and customers who wish to order meals and receive them at home or office. These data are associated with the article “Evaluation of Collaborative consumption of food delivery services through web mining techniques” [1]. These data are stored in a comma separated value format; that can be easily downloaded from a Mendeley data repository (https://data.mendeley.com/datasets/m9z9hw4nsc/1). Keywords: Collaborative consumption, Web scraping, Online food ordering, Traffic conditions, Google maps
Abstract licence: CC BY-NC
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