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US 12,614,021 B2Granted
System and method for integrated temporal external resource allocation
AssigneeWix.com Ltd.
InventorYaniv Yaakob Maman
Life of this patent
Estimating the term…
Abstract
Provided is a website building system with temporal external resource allocation integration.
Claims23
A website building system configured to provide temporal external resource (TER) integration within websites generated using the website building system, the website building system comprising:
- one or more website building repositories storing one or more website building components and one or more website editing historical interactions associated with a plurality of editing user identifiers;
- and
- one or more processors configured to execute software instructions to perform operations for automatically generating electronic temporal external resource (TER) vector allocation recommendation interfaces, the operations comprising:
- retrieving a website identifier associated with a website assembled based at least in part on the one or more website building repositories, wherein the website identifier is selected from a plurality of website identifiers, and wherein the website identifier is associated with an editing user identifier of the plurality of editing user identifiers;
- retrieving end-user data from an end-user data corpus comprising electronic interaction data associated with a first end-user identifier of a plurality of end-user identifiers, wherein the end-user data associated with the first end-user identifier comprises one or more electronic interactions performed by a first client computing device associated with the first end-user identifier accessing one or more websites assembled based at least in part on the one or more website building repositories;
- retrieving a multi-dimensional temporal external resource (TER) matrix maintained by the website building system and associated with the website identifier, wherein the multi-dimensional TER matrix comprises a plurality of TER vectors;
- based at least in part on applying one or more trained machine learning models or one or more rule-based models to historical editing interactions associated with the editing user identifier and the end-user data, selecting a TER vector;
- generating an electronic TER recommendation interface according to the TER vector;
- and
- transmitting the electronic TER recommendation interface to a client computing device associated with the first end-user identifier or the editing user identifier.
7 more elements
A non-transitory computer readable storage medium storing instructions that, when executed by at least one processor of an apparatus, cause the apparatus to perform operations for automatically generating electronic temporal external resource (TER) vector allocation recommendation interfaces within a website building system, the operations comprising:
- retrieving a website identifier associated with a website assembled based at least in part on one or more website building repositories, wherein the one or more website building repositories store one or more website building components and one or more website editing historical interactions associated with a plurality of editing user identifiers, wherein the website identifier is selected from a plurality of website identifiers, and wherein the website identifier is associated with an editing user identifier of the plurality of editing user identifiers;
- retrieving end-user data from an end-user data corpus comprising electronic interaction data associated with a first end-user identifier of a plurality of end-user identifiers, wherein the end-user data associated with the first end-user identifier comprises one or more electronic interactions performed by a first client computing device associated with the first end-user identifier accessing one or more websites assembled based at least in part on the one or more website building repositories;
- retrieving a multi-dimensional temporal external resource (TER) matrix maintained by the website building system and associated with the website identifier, wherein the multi-dimensional TER matrix comprises a plurality of TER vectors;
- based at least in part on applying one or more trained machine learning models or one or more rule-based models to historical editing interactions associated with the editing user identifier and the end-user data, selecting a TER vector;
- generating an electronic TER recommendation interface according to the TER vector;
- and
- transmitting the electronic TER recommendation interface to a client computing device associated with the first end-user identifier or the editing user identifier.
4 more elements
A computer-implemented method for automatically generating electronic temporal external resource (TER) vector allocation recommendation interfaces within a website building system, the method comprising:
- retrieving a website identifier associated with a website assembled based at least in part on one or more website building repositories, wherein the one or more website building repositories store one or more website building components and one or more website editing historical interactions associated with a plurality of editing user identifiers, wherein the website identifier is selected from a plurality of website identifiers, and wherein the website identifier is associated with an editing user identifier of the plurality of editing user identifiers;
- retrieving end-user data from an end-user data corpus comprising electronic interaction data associated with a first end-user identifier of a plurality of end-user identifiers, wherein the end-user data associated with the first end-user identifier comprises one or more electronic interactions performed by a first client computing device associated with the first end-user identifier accessing one or more websites assembled based at least in part on the one or more website building repositories;
- retrieving a multi-dimensional temporal external resource (TER) matrix maintained by the website building system and associated with the website identifier, wherein the multi-dimensional TER matrix comprises a plurality of TER vectors;
- based at least in part on applying one or more trained machine learning models or one or more rule-based models to historical editing interactions associated with the editing user identifier and the end-user data, selecting a TER vector;
- generating an electronic TER recommendation interface according to the TER vector;
- and
- transmitting the electronic TER recommendation interface to a client computing device associated with the first end-user identifier or the editing user identifier.
4 more elements
Dependencies are inferred from the claim text.