US 12,299,723 B2
Digital and physical experience correlation for product recommendation
Kavitha Hassan Yogaraj, Bangalore (IN); Aaron K. Baughman, Cary, NC (US); Shikhar Kwatra, San Jose, CA (US); and Tiberiu Suto, Franklin, NY (US)
Assigned to INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Mar. 31, 2022, as Appl. No. 17/709,537.
Prior Publication US 2023/0316374 A1, Oct. 5, 2023
Int. Cl. G06Q 30/0601 (2023.01); G06F 16/2452 (2019.01)
CPC G06Q 30/0631 (2013.01) [G06F 16/24522 (2019.01); G06Q 30/0627 (2013.01); G06Q 30/0643 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer implemented method comprising:
generating, using a digital twin model of a user, a digital twin model of a geographical location, a digital twin model of an event venue located at the geographical location, and a plurality of digital twin models of clothing items, a product recommendation customized to the user and a planned event, the planned event planned to occur at the event venue, wherein the digital twin model of the event venue is based at least in part on social media text data of one or more users who attended a previous event at the event venue, wherein the product recommendation is further customized based on the social media text data;
generating a product recommendation depiction, the product recommendation depiction comprising a depiction of the product recommendation being worn by the user at the planned event; and
generating an answer to a natural language query regarding the product recommendation depiction.