Efficient Grocery Shopping Using Geolocation and Data Mining

Descripción del Articulo

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 increa...

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Detalles Bibliográficos
Autores: Aliaga-Vasquez, Myrella, Bramon-Ayllon, Reyna, Ugarte, Willy
Formato: artículo
Fecha de Publicación:2022
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/660279
Enlace del recurso:http://hdl.handle.net/10757/660279
Nivel de acceso:acceso embargado
Materia:Retail stores
Viruses
Data mining
Geolocations
Grocery shopping
Shopping lists
Users interests
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network_acronym_str UUPC
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dc.title.es_PE.fl_str_mv Efficient Grocery Shopping Using Geolocation and Data Mining
title Efficient Grocery Shopping Using Geolocation and Data Mining
spellingShingle Efficient Grocery Shopping Using Geolocation and Data Mining
Aliaga-Vasquez, Myrella
Retail stores
Viruses
Data mining
Geolocations
Grocery shopping
Shopping lists
Users interests
title_short Efficient Grocery Shopping Using Geolocation and Data Mining
title_full Efficient Grocery Shopping Using Geolocation and Data Mining
title_fullStr Efficient Grocery Shopping Using Geolocation and Data Mining
title_full_unstemmed Efficient Grocery Shopping Using Geolocation and Data Mining
title_sort Efficient Grocery Shopping Using Geolocation and Data Mining
author Aliaga-Vasquez, Myrella
author_facet Aliaga-Vasquez, Myrella
Bramon-Ayllon, Reyna
Ugarte, Willy
author_role author
author2 Bramon-Ayllon, Reyna
Ugarte, Willy
author2_role author
author
dc.contributor.author.fl_str_mv Aliaga-Vasquez, Myrella
Bramon-Ayllon, Reyna
Ugarte, Willy
dc.subject.es_PE.fl_str_mv Retail stores
Viruses
Data mining
Geolocations
Grocery shopping
Shopping lists
Users interests
topic Retail stores
Viruses
Data mining
Geolocations
Grocery shopping
Shopping lists
Users interests
description 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.
publishDate 2022
dc.date.accessioned.none.fl_str_mv 2022-07-10T16:42:54Z
dc.date.available.none.fl_str_mv 2022-07-10T16:42:54Z
dc.date.issued.fl_str_mv 2022-01-01
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.issn.none.fl_str_mv 23057254
dc.identifier.doi.none.fl_str_mv 10.23919/FRUCT54823.2022.9770930
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/660279
dc.identifier.journal.es_PE.fl_str_mv Conference of Open Innovation Association, FRUCT
dc.identifier.eid.none.fl_str_mv 2-s2.0-85130321320
dc.identifier.scopusid.none.fl_str_mv SCOPUS_ID:85130321320
dc.identifier.isni.none.fl_str_mv 0000 0001 2196 144X
identifier_str_mv 23057254
10.23919/FRUCT54823.2022.9770930
Conference of Open Innovation Association, FRUCT
2-s2.0-85130321320
SCOPUS_ID:85130321320
0000 0001 2196 144X
url http://hdl.handle.net/10757/660279
dc.language.iso.es_PE.fl_str_mv eng
language eng
dc.relation.url.es_PE.fl_str_mv https://ieeexplore.ieee.org/document/9770930
dc.rights.es_PE.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
dc.format.es_PE.fl_str_mv application/html
dc.publisher.es_PE.fl_str_mv IEEE Computer Society
dc.source.es_PE.fl_str_mv Repositorio Academico - UPC
Universidad Peruana de Ciencias Aplicadas (UPC)
dc.source.none.fl_str_mv reponame:UPC-Institucional
instname:Universidad Peruana de Ciencias Aplicadas
instacron:UPC
instname_str Universidad Peruana de Ciencias Aplicadas
instacron_str UPC
institution UPC
reponame_str UPC-Institucional
collection UPC-Institucional
dc.source.journaltitle.none.fl_str_mv Conference of Open Innovation Association, FRUCT
dc.source.volume.none.fl_str_mv 2022-April
dc.source.beginpage.none.fl_str_mv 3
dc.source.endpage.none.fl_str_mv 11
bitstream.url.fl_str_mv https://repositorioacademico.upc.edu.pe/bitstream/10757/660279/1/license.txt
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spelling b649e9b33c9e5a7501003d0835c77005300b021f2024210570bd6061bc5f8bdd892300533fd7e68213307170565ef90452257a500Aliaga-Vasquez, MyrellaBramon-Ayllon, ReynaUgarte, Willy2022-07-10T16:42:54Z2022-07-10T16:42:54Z2022-01-012305725410.23919/FRUCT54823.2022.9770930http://hdl.handle.net/10757/660279Conference of Open Innovation Association, FRUCT2-s2.0-85130321320SCOPUS_ID:851303213200000 0001 2196 144XIn 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.Revisión por paresapplication/htmlengIEEE Computer Societyhttps://ieeexplore.ieee.org/document/9770930info:eu-repo/semantics/embargoedAccessRepositorio Academico - UPCUniversidad Peruana de Ciencias Aplicadas (UPC)Conference of Open Innovation Association, FRUCT2022-April311reponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPCRetail storesVirusesData miningGeolocationsGrocery shoppingShopping listsUsers interestsEfficient Grocery Shopping Using Geolocation and Data Mininginfo:eu-repo/semantics/articleLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorioacademico.upc.edu.pe/bitstream/10757/660279/1/license.txt8a4605be74aa9ea9d79846c1fba20a33MD51false10757/660279oai:repositorioacademico.upc.edu.pe:10757/6602792022-07-10 16:42:55.238Repositorio académico upcupc@openrepository.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Efficient Grocery Shopping Using Geolocation and Data Mining
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