Robust multichannel targeting

US2021103944A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2021103944-A1
Application numberUS-202017121387-A
CountryUS
Kind codeA1
Filing dateDec 14, 2020
Priority dateAug 25, 2014
Publication dateApr 8, 2021
Grant date

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  1. Title

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  5. First independent claim

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

A computer system may access an attributization rule and convert, based on the attributization rule, profile data into attributes for a robust recipient profile. The system may identify, based on tag logic, tags that are associated with the attributes. The tag logic may include instructions to compare the attributes with predetermined attributes associated with the tags. The system may map the identified tags to the recipient identifier. The system may perform communication with a mobile device based on the robust recipient profile and a real-time location of the mobile device. To perform the communication, the system may monitor the plurality of data channels for data comprising real-time location information for the mobile device. The system may determine the mobile device is proximate to a physical object that is associated with the tag and the system may transmit offer information to the mobile device.

First claim

Opening claim text (preview).

1 .- 20 . (canceled) 21 . A method for generating a robust recipient profile and identifying physical items from location-based updates, comprising: receiving, by a processor, profile data from a plurality of data channels; matching the received profile data from the plurality of data channels to a recipient; accessing, by the processor, an attributization rule associated with at least one of the data channels, the attributization rules comprising instructions to convert the profile data into attributes for a robust recipient profile of the recipient; converting, based on the attributization rule, the profile data from the plurality of data channels into attributes and storing the attributes in the robust recipient profile in association with a recipient identifier of the recipient, the robust recipient profile electronically stored in a database record in association with a recipient identifier of the recipient; determining, by the processor, a recipient-specific custom metadata recommendation based on the robust recipient profile by: retrieving metadata and an attribute configuration file from a metadata database, the metadata comprising a set of generalized metadata in the metadata database; matching the determined attributes in the robust recipient profile of the recipient with the metadata based on the attribute configuration file to determine relevant recipient-specific custom metadata; and ranking the relevant recipient-specific custom metadata based on a significance of the relevant recipient-specific custom metadata to a temporal contextual state of the recipient; and generating and transmitting, by the processor, as an offer output, for presentation to the recipient on a user interface of the recipient, a highest ranked recipient-specific custom metadata recommendation. 22 . The method of claim 21 , further comprising deriving the temporal contextual state of the recipient by applying context rules to the profile data from the plurality of data channels. 23 . The method of claim 22 , further comprising further deriving the temporal contextual state of the recipient by applying the context rules to the stored robust recipient profile, API request data accompanying requests received through an API, or a combination of the stored robust recipient profile and the API request data. 24 . The method of claim 21 , wherein ranking the relevant recipient-specific custom metadata further comprises assigning a fit factor to the offer output based on a level of correlation between the relevant recipient-specific custom metadata and the determined attributes in the robust recipient profile of the recipient; and categorizing the offer output based on the assigned fit factor as either a regular offer or an extended offer, a regular offer being more closely correlated to the robust recipient profile than the extended offer. 25 . The method of claim 21 , further comprising: identifying, by the processor, based on tag logic, tags that are associated with the attributes, wherein the tag logic comprises instructions to compare the attributes with predetermined attributes associated with the tags; mapping, by the processor, in the robust recipient profile, the identified tags to the recipient identifier; and determining, by the processor, the significance of the relevant recipient-specific custom metadata to the temporal contextual state of the recipient in accordance with the tags. 26 . The method of claim 25 , wherein mapping the identified tags to the recipient identifier comprises: monitoring the plurality of data channels for data comprising real-time location information originated by a mobile device associated with the recipient identifier; determining the mobile device is proximate to a physical object, the physical object being associated with at least one of the tags; and transmitting, in response to the mobile device being proximate to the physical object and the physical object being associated with at least one of the tags, the offer output to the mobile device, the offer output comprising predetermined information descriptive of the physical object. 27 . The method of claim 21 , further comprising: determining, by the processor, whether a real-time update flag is present in the profile data from the plurality of data channels; updating, by the processor, the robust recipient profile in real-time based on the real-time update flag being present; and updating, by the processor, the robust recipient profile through a batch update based on a determination that a real-time update flag is not present. 28 . The method of claim 21 , wherein the temporal contextual state of the recipient comprises a real-time location information originated by a mobile device associated with the recipient identifier of the recipient, the mobile device comprising the user interface of the recipient. 29 . The method of claim 21 , wherein converting, based on the attributization rule, the profile data into the attributes further comprises: generating an attribute based on a first set of profile data received from a first data channel and a second set of profile data received from a second data channel, the first set of profile data corresponding to a first user profile and the second set of profile data corresponding to a second user profile, the first user profile and the second user profile associated with the recipient corresponding to the recipient identifier. 30 . The method of claim 21 , wherein retrieving metadata and the attribute configuration file from the metadata database further comprises: retrieving interaction metadata from the metadata database, the interaction metadata indicative of interaction with physical objects by the recipient corresponding to the recipient identifier; deriving a transaction mapping based on the interaction metadata and the attributes, the transaction mapping comprising a plurality of nodes, the plurality of nodes representative of offer instructions and associated with corresponding physical objects, respectively, wherein the nodes are separated by edges; identifying, based on the interaction metadata and the transaction mapping, a first node associated with a corresponding physical object that the recipient has interacted with; identifying a second node that is connected to the first node by at least one of the edges; and including an offer instruction corresponding to the second node in the offer output. 31 . The method of claim 30 , wherein the offer instruction is included in the offer output in response to the second node being representative of the offer instruction and a physical object associated with the second node being in physical proximity to a mobile device associated with the recipient identifier of the recipient. 32 . A system comprising: a hardware processor and a memory, the hardware processor configured to: receive profile data from a plurality of data channels, access an attributization rule associated with at least one of the data channels, the attributization rule comprising instructions to convert the profile data into attributes for a robust recipient profile of a recipient; convert, based on the attributization rule, the profile data into the attributes and store the attributes in a robust recipient profile associated with a recipient identifier of the recipient; determine a recipient-specific custom metadata recommendation based on the robust recipient profile and the identified tags mapped to the recipient identifier by: retrieval of metadata and an attribute configuration file from a metadata database, the metadata comprising a set of generalized metadata in the metadata dat

Assignees

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Classifications

  • Business processes related to social networking or social networking services · CPC title

  • Personalized advertisement · CPC title

  • Market segmentation · CPC title

  • Physics · mapped topic

  • Determination of affinities or common interests between users · CPC title

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Frequently asked questions

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What does patent US2021103944A1 cover?
A computer system may access an attributization rule and convert, based on the attributization rule, profile data into attributes for a robust recipient profile. The system may identify, based on tag logic, tags that are associated with the attributes. The tag logic may include instructions to compare the attributes with predetermined attributes associated with the tags. The system may map the …
Who is the assignee on this patent?
Accenture Global Services Ltd
What technology area does this patent fall under?
Primary CPC classification G06Q30/0204. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Apr 08 2021 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).