US 11,107,093 B2Granted

Distributed node cluster for establishing a digital touchpoint across multiple devices on a digital communications network

AssigneeLiveRamp, Inc.

InventorsAmresh Mohanlal, W. Dwayne Collins, Pavan Roy Marupally

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Abstract

A distributed node cluster architecture within a parallel computing environment provides for the association of individuals and households accessing a communications network through multiple electronic communications devices with a particular digital touchpoint or touchpoints used when communicating on the network. The cluster facilitates the determination of a touchpoint when an individual or household name is determined, or, alternatively, the determination of an individual or household when a touchpoint is received. A persistent linkage of digital touchpoints to individuals or households communicates with an entity resolution system executing at the node cluster to track data pertaining to entities, allowing the coordination of touchpoints with such individual consumers or households over time.

Claims28

Dependent claims

A node cluster architecture for a touchpoint to consumer/households resolution system, comprising:

a. an entity graph resolution repository (EGRR) comprising a plurality of representation data structures, wherein each representation data structure comprises:
i. at least one datum concerning an individual or a household;
ii. at least one touchpoint associated with such individual or household;
and
iii. at least one consumer link (CL) or household link (HHL);
b. an entity graph resolution engine (EGRE) hosted across the node cluster architecture and in communication with the EGRR, wherein the EGRE is configured to receive a plurality of input identifiers each for an individual or a household and utilize the EGRR to resolve such identifiers in parallel across a plurality of nodes in the node cluster architecture;
c. a temporal signal file populated by the EGRE and comprising pairings between touchpoints and individuals or households;
and
d. a cross-reference file created by the EGRE from the temporal signal file and comprising a ranking of CLs or HHLs for a touchpoint or a ranking of touchpoints for a CL or HHL,
wherein the EGRE further comprising an application programming interface (API) to receive a request, wherein the request comprises either one or more CLs or HHLs or one or more touchpoints,
and further wherein the EGRE comprises an output module configured to return from the cross-reference file one or more touchpoints in response to receiving a CL or HHL, or to return one or more CLs or HHLs in response to receiving a touchpoint.

8 more elements

A method for determining a best individual or household for a particular touchpoint in a distributed node architecture, the method comprising the steps of:

a. constructing an entity graph resolution repository (EGRR) comprising a plurality of representation data structures, wherein each representation data structure comprises:
i. at least one datum concerning an individual or a household;
ii. at least one touchpoint representation associated with such individual or household;
and
iii. at least one consumer link (CL) or household link (HHL) associated with an individual or a household, respectively;
b. engaging an entity graph resolution engine (EGRE) to resolve from each touchpoint representation a most defensible individual or household for each touchpoint representation, wherein the evaluation of each potential individual or household is distributed across a plurality of nodes of the distributed node architecture;
c. constructing a temporal signal file populated by the EGRE and comprising pairings between touchpoint representations and individuals or households;
and
d. constructing a cross-reference file from the temporal signal file, wherein the cross-reference file comprising a ranking of, for each touchpoint representation, a CL, an HHL, or both a CL and an HHL.

6 more elements

A method for determining a best touchpoint for a particular individual or household in a distributed node architecture, the method comprising the steps of:

a. constructing an entity graph resolution repository (EGRR) comprising a plurality of representation data structures, wherein each representation data structure comprises:
i. at least one datum concerning an individual or a household;
ii. at least one touchpoint representation associated with such individual or household;
and
iii. at least one consumer link (CL) or household link (HHL) associated with an individual or a household, respectively;
b. engaging an entity graph resolution engine (EGRE) to resolve from each individual or household a most defensible touchpoint representation for each individual or household, wherein the evaluation of each potential touchpoint representation is distributed across a plurality of nodes of the distributed node architecture;
c. constructing a temporal signal file populated by the EGRE and comprising pairings between individuals or households and touchpoint representations;
and
d. constructing a cross-reference file from the temporal signal file, wherein the cross-reference file comprising a ranking of, for each individual or household, a touchpoint representation and a CL, an HHL, or both a CL and an HHL.

6 more elements

Dependencies are inferred from the claim text.

Facts

Application: 16/614,749Filed 15 May 2018 · us provisional application
Priority: 19 May 2017
Published: US 2020/0104864 A12 Apr 2020
Granted: 31 Aug 2021
Term ends: Not estimatedThe source records don’t support an estimate.

Classification14 codes

G06Q 10/10
Administration; Management: office automation; Time management
G06F 9/54
Multiprogramming arrangements: interprogram communication
G06F 15/16
Digital computers in general ; Data processing equipment in general: combinations of two or more digital computers each having at least an…
G06F 15/76
Digital computers in general ; Data processing equipment in general: architectures of general purpose stored program computers