公开(公告)号：US20230237093A1

公开(公告)日：2023-07-27

申请号：US17649091

申请日：2022-01-27

Applicant: ADOBE INC.

Inventor： Yifan Li ,  Trung Huu Bui ,  Timothy Jeewun Ganter ,  David Fox

IPC: G06F16/735 ,  G06N3/08

CPC classification number: G06F16/735 ,  G06N3/08

Abstract: Systems and methods for item recommendation are described. Embodiments of the present disclosure receive input indicating a relationship between a user and a first content item; generate a knowledge graph based on the input, wherein the knowledge graph comprises relationship information between the user and a plurality of content items; generate a first feature embedding representing the user and a second feature embedding representing a second content item of the plurality of content items based on the knowledge graph, wherein the second feature embedding is generated using a first modality for a query vector of an attention mechanism and a second modality for a key vector and a value vector of the attention mechanism; compare the first feature embedding to the second feature embedding to obtain a similarity score; and recommend the second content item for the user based on the similarity score.