Efficient Grocery Shopping Using Geolocation and Data Mining

Myrella Aliaga-Vasquez, Reyna Bramon-Ayllon, Willy Ugarte

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

In the current pandemic, people are looking to leave their houses less frequently to prevent getting infected, but the absence of an app that shows the necessary information before going to the supermarket forces people to look in different supermarkets for the products they want to buy, thus increasing their chances of catching the virus, not to mention the waste of money and time. DoremyS is an app that allows you to create shopping lists that indicate to the user which supermarket to visit to find every product in them; it uses Geolocation to recommend supermarkets that are near the user and Data Mining to recommend shopping lists based on the user's interests.

Idioma originalInglés
Título de la publicación alojadaProceedings of the 31st Conference of Open Innovations Association FRUCT, FRUCT 2022
EditoresSergey Balandin, Tatiana Shatalova
EditorialIEEE Computer Society
Páginas3-11
Número de páginas9
ISBN (versión digital)9789526924472
DOI
EstadoPublicada - 2022
Evento31st Conference of Open Innovations Association FRUCT, FRUCT 2022 - Virtual, Online, Finlandia
Duración: 27 abr. 202229 abr. 2022

Serie de la publicación

NombreConference of Open Innovation Association, FRUCT
Volumen2022-April
ISSN (versión impresa)2305-7254

Conferencia

Conferencia31st Conference of Open Innovations Association FRUCT, FRUCT 2022
País/TerritorioFinlandia
CiudadVirtual, Online
Período27/04/2229/04/22

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