公开(公告)号：US20230350968A1

公开(公告)日：2023-11-02

申请号：US17661641

申请日：2022-05-02

Applicant: Adobe Inc.

Inventor： Irgelkha Mejia ,  Michele Saad ,  Eunyee Koh ,  Andrew Thomson ,  Lauren Dest ,  Dustin Ground ,  Anna Hammond ,  Arjun Athreya ,  Catherine Chiodo

IPC: G06F16/957 ,  G06F16/958 ,  G06F16/9536

CPC classification number: G06F16/9577 ,  G06F16/958 ,  G06F16/9536

Abstract: Methods, systems, and non-transitory computer readable media are disclosed for utilizing machine learning models to extract digital signals from low-results web queries and generate item demand deficiency predictions for digital item lists corresponding to websites. In one or more embodiments, the disclosed systems identify a low-results query submitted by client devices navigating a website. The disclosed systems generate features for the low-results query and the digital item list to generate a deficiency prediction relative to demand indicated by the low-results query. In some embodiments, the disclosed system utilizes a deficiency prediction model to process the extracted signals and generate a deficiency confidence score corresponding to the low-results query. Based on the deficiency confidence score, the disclosed system can generate and provide demand notifications via one or more graphical user interfaces.