Cognitive Artificial Intelligence Algorithms, Movement and Behavior Tracking Tools, and Customer Identification Technology in the Metaverse Commerce

Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F22%3A00002466" target="_blank" >RIV/75081431:_____/22:00002466 - isvavai.cz</a>
Výsledek na webu
<a href="https://test.addletonacademicpublishers.com/search-in-rcp/2149-volume-21-2022/4310-cognitive-artificial-intelligence-algorithms-movement-and-behavior-tracking-tools-and-customer-identification-technology-in-the-metaverse-commerce" target="_blank" >https://test.addletonacademicpublishers.com/search-in-rcp/2149-volume-21-2022/4310-cognitive-artificial-intelligence-algorithms-movement-and-behavior-tracking-tools-and-customer-identification-technology-in-the-metaverse-commerce</a>
DOI - Digital Object Identifier
—

Jazyk výsledku
angličtina
Název v původním jazyce
Cognitive Artificial Intelligence Algorithms, Movement and Behavior Tracking Tools, and Customer Identification Technology in the Metaverse Commerce
Popis výsledku v původním jazyce
The authors aim to summarize and analyze biometric authentication functions, metaverse capabilities, and real-time predictive analytics. This research cumulates previous findings that suggest that transaction geolocation data, machine learning-based image recognition tools, and artificial vision systems configure consumer behavior and expectations and optimize purchase paths in virtual marketplaces.
Název v anglickém jazyce
Cognitive Artificial Intelligence Algorithms, Movement and Behavior Tracking Tools, and Customer Identification Technology in the Metaverse Commerce
Popis výsledku anglicky
The authors aim to summarize and analyze biometric authentication functions, metaverse capabilities, and real-time predictive analytics. This research cumulates previous findings that suggest that transaction geolocation data, machine learning-based image recognition tools, and artificial vision systems configure consumer behavior and expectations and optimize purchase paths in virtual marketplaces.

Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Popis výsledku