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Efficient Grocery Shopping Using Geolocation and Data Mining

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Authors
Aliaga-Vasquez, Myrella
Bramon-Ayllon, Reyna
Ugarte, Willy
Issue Date
2022-01-01
Keywords
Retail stores
Viruses
Data mining
Geolocations
Grocery shopping
Shopping lists
Users interests

Metadata
Show full item record
Publisher
IEEE Computer Society
Journal
Conference of Open Innovation Association, FRUCT
URI
http://hdl.handle.net/10757/660279
DOI
10.23919/FRUCT54823.2022.9770930
Additional Links
https://ieeexplore.ieee.org/document/9770930
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.
Type
info:eu-repo/semantics/article
Rights
info:eu-repo/semantics/embargoedAccess
Language
eng
ISSN
23057254
ae974a485f413a2113503eed53cd6c53
10.23919/FRUCT54823.2022.9770930
Scopus Count
Collections
Ingeniería de Sistemas de Información

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