US 12,086,856 B2
Identifying product items based on surge activity
Satheesh Kumaresan Nair, Santa Clara, CA (US); and Vikas Singh, San Jose, CA (US)
Assigned to EBAY INC., San Jose, CA (US)
Filed by eBay Inc., San Jose, CA (US)
Filed on Jun. 14, 2023, as Appl. No. 18/209,734.
Application 18/209,734 is a continuation of application No. 17/207,874, filed on Mar. 22, 2021, granted, now 11,710,166.
Application 17/207,874 is a continuation of application No. 16/015,459, filed on Jun. 22, 2018, granted, now 10,977,707.
Prior Publication US 2023/0325898 A1, Oct. 12, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06Q 30/00 (2023.01); G06N 20/00 (2019.01); G06Q 30/0601 (2023.01)
CPC G06Q 30/0625 (2013.01) [G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
identify, using a machine learning model, an item based on a plurality of surge activities of the item, the machine learning model corresponding to one or more machine learning layers;
determining a first set of user accounts associated with the item;
determine, using the one or more machine learning layers, an item affinity pattern based on the first set of user accounts;
determining a second set of user accounts based on the item affinity pattern; and
causing display of a notification on one or more devices associated with the second set of user accounts, the notification indicating an opportunity to list the item for sale.