US 12,169,511 B2
Systems and methods for cold-start recommendation using largescale graph models
Ankur Bhardwaj, Sunnyvale, CA (US); Afroza Ali, Los Altos, CA (US); and Kannan Achan, Saratoga, CA (US)
Assigned to Walmart Apollo, LLC, Bentonville, AR (US)
Filed by Walmart Apollo, LLC, Bentonville, AR (US)
Filed on Jan. 31, 2023, as Appl. No. 18/104,184.
Prior Publication US 2024/0256578 A1, Aug. 1, 2024
Int. Cl. G06F 16/28 (2019.01); G06F 16/22 (2019.01); G06F 16/901 (2019.01)
CPC G06F 16/288 (2019.01) [G06F 16/2237 (2019.01); G06F 16/9024 (2019.01)] 8 Claims
OG exemplary drawing
 
1. A system, comprising:
a non-transitory memory;
a processor communicatively coupled to the non-transitory memory, wherein the processor is configured to read a set of instructions to:
receive a request for an interface;
generate a set of interface items for inclusion in the interface, wherein the set of interface items is selected at least in part by a graph-based cold-start (GCS) model including a semantic similarity component and a viewed-also-viewed component, and wherein the set of interface items is generated based on a combination of an output of the semantic similarity component and an output of the viewed-also-viewed component, wherein the semantic similarity component is configured to generate a sparse distance matrix and the viewed-also-viewed component is configured to generate a co-viewed weighted sparse matrix, wherein the GCS model is configured to combine the sparse distance matrix and the co-viewed weighted sparse matrix to generate a product graph adjacency matrix;
generate the interface including the set of interface items; and
transmit the interface to a system that generated the request for the interface.