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Efficient Grocery Shopping Using Geolocation and Data Mining

  • Universidad Peruana de Ciencias Aplicadas

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 31st Conference of Open Innovations Association FRUCT, FRUCT 2022
EditorsSergey Balandin, Tatiana Shatalova
PublisherIEEE Computer Society
Pages3-11
Number of pages9
ISBN (Electronic)9789526924472
DOIs
StatePublished - 2022
Event31st Conference of Open Innovations Association FRUCT, FRUCT 2022 - Virtual, Online, Finland
Duration: 27 Apr 202229 Apr 2022

Publication series

NameConference of Open Innovation Association, FRUCT
Volume2022-April
ISSN (Print)2305-7254

Conference

Conference31st Conference of Open Innovations Association FRUCT, FRUCT 2022
Country/TerritoryFinland
CityVirtual, Online
Period27/04/2229/04/22

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