Invention Grant
- Patent Title: Identifying entities using a deep-learning model
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Application No.: US14984956Application Date: 2015-12-30
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Publication No.: US10402750B2Publication Date: 2019-09-03
- Inventor: Jason E. Weston , Keith Adams , Sumit Chopra
- Applicant: Facebook, Inc.
- Applicant Address: US CA Menlo Park
- Assignee: Facebook, Inc.
- Current Assignee: Facebook, Inc.
- Current Assignee Address: US CA Menlo Park
- Agency: Baker Botts L.L.P.
- Main IPC: G06F15/18
- IPC: G06F15/18 ; G06N20/00 ; G06Q50/00

Abstract:
In one embodiment, a method includes accessing a first set of entities, with which a user has interacted, and a second set of entities in a social-networking system. A first set of vector representations of the first set of entities are determined using a deep-learning model. A target entity is selected from the first set of entities, and the vector representation of the target entity is removed from the first set. The remaining vector representations in the first set are combined to determine a vector representation of the user. A second set of vector representations of the second set of entities are determined using the deep-learning model. Similarity scores are computed between the user and each of the target entity and the entities in the second set of entities. Vector representations of entities in the second set of entities are updated based on the similarity scores using the deep-learning model.
Public/Granted literature
- US20170193390A1 Identifying Entities Using a Deep-Learning Model Public/Granted day:2017-07-06
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