COMPUTER-BASED DOMAIN NAME RECOMMENDATION SYSTEM UTILIZING PERSONALIZED GENERATIVE ARTIFICIAL INTELLIGENCE ENGINES AND METHODS OF USE THEREOF

A method includes receiving a domain search query from a first user, generating a prompt based on the query to instruct a first model to provide a domain recommendation, where the first model is trained by utilizing a dataset including: first data reflecting interactions of users with domain portfolios, second data reflecting domain-related actions performed by the users, third data reflecting behaviors of a second user during a current domain search session, fourth data reflecting behaviors of the second user over a predetermined period covering multiple search sessions, and fifth data reflecting search scenarios of multiple users, determining the domain recommendation against a predetermined rule to form a sanitized domain recommendation, verifying an availability to register the sanitized domain recommendation to form an available domain recommendation, adding industry information to the available domain recommendation to form an enriched domain recommendation, and transmitting the enriched domain recommendation to the first user.