The Algorithms That Make Instacart Roll: How Machine Learning And Other Tech Tools Guide Your Groceries From Store To Doorstep

Autor:	Lily Zhang, Sharath Rao
Rok vydání:	2021
Předmět:	Schedule Crowds Grocery store Computer science Phone Distance education Advertising Remote learning Electrical and Electronic Engineering Click-through rate
Zdroj:	IEEE Spectrum. 58:36-42
ISSN:	1939-9340 0018-9235
DOI:	10.1109/mspec.2021.9370062
Popis:	IT'S SUNDAY MORNING, and, after your socially distanced morning hike, you look at your schedule for the next few days. You need to restock your refrigerator, but the weekend crowds at the supermarket don't excite you. Monday and Tuesday are jam-packed with Zoom meetings, and you'll also be supervising your children's remote learning. In short, you aren't going to make it to the grocery store anytime soon. So you pull out your phone, fire up the Instacart app, and select your favorite grocery store. You click through your list of previously purchased items, browse specials, search for a new key-lime sparkling water a friend recommended, then select a delivery window. About 2 hours later, you watch a shopper, wearing a face mask, place bags on your porch.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f710ec5d2cf2a0dfa61120ce79984694 https://doi.org/10.1109/mspec.2021.9370062 Zobrazit plný text záznamu