US 2026/0289358 A1Published application

Computer-implemented system and method for adaptive behavioral modeling and content optimization using artificial intelligence technique

AssigneeAskIt-AI, Inc.

InventorsLotan MAGAL, Neal TSUR

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Abstract

A method and system for simulating responses from virtual personas, the method comprising: using a computer processor, generating a plurality of target audience descriptions; converting the plurality of target audience descriptions into numerical embeddings; converting a pre-existing personality survey into numerical embeddings; determining, with a machine learning model, compatibility of the plurality of target audience descriptions with respondents of the pre-existing personality survey; forming an array of likelihood scores based on the compatibility, wherein columns of the array correspond to the target audience descriptions and rows correspond to the pre-existing personality survey; selecting a subset of the rows of the array with likelihood scores above a user-selected threshold; generating, from the subset, a set of virtual personas combining the plurality of target audience descriptions and the pre-existing personality survey respondents; and simulating responses using the set of virtual personas.

Claims21

Dependent claims

A method of simulating responses from virtual personas, the method comprising, using at least one computer processor:

generating a plurality of target demographic descriptions for a target demographic;
obtaining, from a pre-existing demographic dataset, a plurality of participant descriptions;
converting the plurality of target demographic descriptions and the plurality of participant descriptions into numerical embeddings;
training a machine learning model to determine a compatibility of a participant description with a target demographic description using the numerical embeddings thereof;
determining the compatibilities of the plurality of participant descriptions with the plurality of target demographic descriptions;
forming an array of likelihood scores based on the compatibilities, wherein columns of the array correspond to the target demographic descriptions and rows of the array correspond to the participant descriptions;
selecting a subset of the rows of the array with likelihood scores above a threshold;
generating, from the subset, one or more virtual personas, wherein a virtual persona comprises a combination of features from one or more target demographic descriptions and participant descriptions;
receiving a user input comprising a query and a target demographic;
and
simulating one or more responses to the user input using the one or more virtual personas.

8 more elements

A system for simulating responses from virtual personas, the system comprising:

a computer memory;
and
one or more computer processor,
wherein the computer memory holds instructions which, when executed by the one or more computer processor, cause the one or more computer processor to:
generate a plurality of target audience descriptions;
convert the plurality of target audience descriptions into numerical embeddings;
convert a pre-existing personality survey into numerical embeddings;
determine, with a machine learning model, compatibility of the plurality of target audience descriptions with respondents of the pre-existing personality survey;
form an array of likelihood scores based on the compatibility, wherein columns of the array correspond to the target audience descriptions and rows correspond to the pre-existing personality survey;
select a subset of the rows of the array with likelihood scores above a threshold;
generate, from the subset, a set of virtual personas combining the plurality of target audience descriptions and the pre-existing personality survey respondents;
and
simulate responses using the set of virtual personas.

10 more elements

Dependencies are inferred from the claim text.