US 12,614,542 B1 · Action prediction

Abstract

A computer-implemented method is disclosed that involves receiving first data representing at least one current contextual state of a first user corresponding to a first user profile, and determining, using the first data and a graph neural network (GNN) that has been trained using graph data representing a graph, that the first user is in a first situational context corresponding to a first one of a plurality of first nodes in the graph, wherein the plurality of first nodes correspond to respective ones of a plurality of possible situational contexts, wherein the graph further includes a second node corresponding to the first user and a first edge connected to the second node, and wherein second data representing a prior contextual state of the first user is associated with the first edge. Based at least in part on the first user being in the first situational context, a first action of a plurality of possible actions to be executed with respect to the first user profile may be determined, and a device corresponding to the first user profile may be caused to take the first action.

Claims18

Dependent claims

A method performed by a computing system to cause an electronic device to perform an operation corresponding to a first action taken by a first application, the method comprising:

receiving first data representing a contextual state corresponding to a first user associated with a first user profile, wherein the first data is not received contemporaneously with a request by the first user to perform the operation or take the first action;
processing the first data using a machine learning model to determine that the first user is in a first situational context corresponding to at least one of (a) a location of the first user, (b) an activity of the first user, or (c) an occurrence corresponding to the location of the first user;
determining that the first action is associated with the first situational context;
causing the first application to take the first action;
determining that the electronic device corresponds to the first user profile;
and
sending, from the computing system to the electronic device via a network, at least one instruction that causes the electronic device to perform the operation.

4 more elements

A system for causing an electronic device to perform an operation corresponding to a first action taken by a first application, comprising:

at least one processor;
and
at least one computer-readable medium encoded with instructions which, when executed by the at least one processor, cause the system to:
receive first data representing a contextual state corresponding to a first user associated with a first user profile, wherein the first data is not received contemporaneously with a request by the first user to perform the operation or take the first action;
process the first data using a machine learning model to determine that the first user is in a first situational context corresponding to at least one of (a) a location of the first user, (b) an activity of the first user, or (c) an occurrence corresponding to the location of the first user;
determine that the first action is associated with the first situational context;
cause the first application to take the first action;
determine that the electronic device corresponds to the first user profile;
and
send, from the system to the electronic device via a network, at least one instruction that causes the electronic device to perform the operation.

7 more elements

Dependencies are inferred from the claim text.

Action prediction

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Action prediction

Life of this patent

Abstract

Claims18