公开(公告)号：US20240020345A1

公开(公告)日：2024-01-18

申请号：US16017861

申请日：2018-06-25

Applicant: Meta Platforms, Inc.

Inventor： Aleksandr Ulanov ,  Dinkar Jain ,  Nikita Igorevych Lytkin ,  Apurva Jadhav ,  Yanxi Pan ,  Shike Mei

IPC: G06F17/30

CPC classification number: G06F17/30867 ,  G06F17/30554 ,  G06F17/30601

Abstract: A system uses semantic analysis of text associated with content items to recommend content for display to a user. A subset of representative words from a content description are determined and a content embedding that models the content is generated using a combination of word embeddings associated with each of the representative words. User embeddings are generated using a combination of content embeddings for content that a user has had particular interactions with in a set period of time. Separate user embeddings may be generated to represent user interactions with different categories of content (e.g., travel, photography, apparel, comedy, etc.). The system uses the content embeddings and user embeddings as input to predictive functions which determine a candidate content item that a user is likely to interact with if the candidate content is displayed to the user.