US 11,816,718 B2
Heterogeneous graph embedding
Runhua Zhao, Mountain View, CA (US)
Assigned to INTUIT INC., Mountain View, CA (US)
Filed by INTUIT INC., Mountain View, CA (US)
Filed on Dec. 29, 2022, as Appl. No. 18/148,401.
Application 18/148,401 is a continuation of application No. 17/037,470, filed on Sep. 29, 2020, granted, now 11,568,463.
Prior Publication US 2023/0132448 A1, May 4, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06Q 30/0601 (2023.01); G06F 16/2457 (2019.01); G06N 20/00 (2019.01)
CPC G06Q 30/0623 (2013.01) [G06F 16/24578 (2019.01); G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A processor implemented method comprising:
processing, based on a transaction characteristic, a plurality of feature datasets comprising transactions with corresponding user identifiers and merchant identifiers to generate a graph data structure comprising a plurality of interconnected transaction pairs;
processing the graph data structure to determine a first-order transaction pair corresponding to a transaction frequency associated with a first user identifier, the first-order transaction pair comprising a first user node associated with the first user identifier and a first merchant node associated with a first merchant identifier;
processing the graph data structure to determine a second set of transaction pairs from the first merchant node to one or more additional user nodes based on a ranking of transaction frequencies associated with the first merchant node to the one or more additional user nodes;
determining a second-order transaction pair from the first merchant node to a second user node based on each transaction frequency of the second set of transaction pairs and a corresponding predefined hyper-parameter; and
generating a transaction sequence associated with the first user identifier by combining respective feature datasets associated with the first-order transaction pair and the second-order transaction pair.