Yafei Y Wang

US Patent:

20200311110, Oct 1, 2020

Filed:

Mar 29, 2019

Appl. No.:

16/369980

Inventors:

- Redmond WA, US
Myunghwan Kim - Milpitas CA, US
Yiou Xiao - Sunnyvale CA, US
Yafei Wang - Sunnyvale CA, US
Florent Bekerman - San Francisco CA, US

International Classification:

G06F 16/28
G06F 16/901
G06N 3/08

Abstract:

Techniques for generating latent representations for entities based on a network graph are provided. In one technique, an artificial neural network is trained based on feature vectors of entities and feature vectors of neighbors of those entities. The neighbors are determined based on a graph of nodes representing the entities. Two nodes are connected if, for example, the corresponding entities are connected in an online network, one entity transmitted an online communication to the other entity, or one entity interacted with content associated with the other entity. Once trained, the artificial neural network is used to generate latent representations for entities represented by the graph. Latent representations may be used in multiple ways. For example, a similarity between two latent representations may be used to determine an order of candidate content items to present to an entity corresponding to one of the latent representations.