公开(公告)号：US20210201154A1

公开(公告)日：2021-07-01

申请号：US16730884

申请日：2019-12-30

Applicant: Amobee, Inc.

Inventor： Alon Rozental ,  Daniel Fleischer

IPC: G06N3/08 ,  G06N20/10 ,  G06K9/62 ,  G06F16/9032

Abstract: Methods, and systems for determining or inferring user attributes and/or determining information related to user attributes. One of the methods includes: receiving, at each encoder of a plurality of encoders, individual user datasets for a plurality of individual users from a single specified source, the plurality of encoders receiving data from a plurality of data sources; generating a plurality of vectors, wherein generating a plurality of vectors comprises, for each individual user dataset, generating a vector of a specified size, the plurality of vectors forming a shared representation and wherein each of the plurality of encoders comprises a machine learning model trained based at least in part on: a) an encoder's loss, and b) a classifier loss; receiving a query of the shared representation; and providing information from the shared representation in response to the query.