dc.creatorAliaga-Vasquez, Myrella
dc.creatorBramon-Ayllon, Reyna
dc.creatorUgarte, Willy
dc.date.accessioned2022-07-10T16:42:54Z
dc.date.accessioned2024-05-07T03:03:51Z
dc.date.available2022-07-10T16:42:54Z
dc.date.available2024-05-07T03:03:51Z
dc.date.created2022-07-10T16:42:54Z
dc.date.issued2022-01-01
dc.identifier23057254
dc.identifier10.23919/FRUCT54823.2022.9770930
dc.identifierhttp://hdl.handle.net/10757/660279
dc.identifierConference of Open Innovation Association, FRUCT
dc.identifier2-s2.0-85130321320
dc.identifierSCOPUS_ID:85130321320
dc.identifier0000 0001 2196 144X
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9329203
dc.description.abstractIn 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.
dc.languageeng
dc.publisherIEEE Computer Society
dc.relationhttps://ieeexplore.ieee.org/document/9770930
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.sourceRepositorio Academico - UPC
dc.sourceUniversidad Peruana de Ciencias Aplicadas (UPC)
dc.sourceConference of Open Innovation Association, FRUCT
dc.source2022-April
dc.source3
dc.source11
dc.subjectRetail stores
dc.subjectViruses
dc.subjectData mining
dc.subjectGeolocations
dc.subjectGrocery shopping
dc.subjectShopping lists
dc.subjectUsers interests
dc.titleEfficient Grocery Shopping Using Geolocation and Data Mining
dc.typeinfo:eu-repo/semantics/article


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