128 results about "Persona" patented technology

An apparatus and method are provided, which provide automated analysis and generation of marketing or advertising content, e.g., using large language models (LLMs). The apparatus extracts specific insights from input advertisements, such as needs served, brand personas, products advertised, target audiences, tone, and topical categories. These insights are summarized in the formats commonly used in digital marketing, including brand evaluations, comparative analyses of campaigns, possible future advertising content examples, and examples of user personas together with the imaginary persona stories supporting them. The apparatus may leverage multi-modal prompt engineering to have LLM identify key features of advertisements, generalize analyses, present examples, and generate customer personas, stories, marketing content examples. Sample outputs include brand values and goals identification, persona analysis with examples, campaign differentiators comparison, and Artificial Intelligence (AI)-enhanced customer persona generation. The automation and scalability of such formerly manual marketing tasks provide actionable insights to facilitate rapid and informed decision-making.

This invention relates to a system and method that enhances user interaction and marketing effectiveness through advanced data integration and personalized algorithms. The system and method collects detailed user data through body scanning and questionnaires, creating comprehensive profiles using machine learning. These profiles facilitate precise matching of influencers with businesses based on physical attributes, audience demographics, and content preferences. The system generates AI-driven marketing personas tailored to specific demographics and enables live shopping integration with social platforms. A novel double-blind review mechanism ensures transparent feedback between businesses and influencers. The platform supports group profiles that aggregate multiple users' data, enabling family-based shopping with privacy controls and preference weighting. The system continuously refines its algorithms using campaign performance data and engagement metrics, optimizing future matches and marketing strategies. This innovative approach significantly improves marketing ROI, user engagement, and personalization for digital social interaction and targeted marketing.

A system (100) and method for generating user-persona based geo-spatial insights and recommendations for assets is disclosed The system (100) receives a request for determining desired assets for an end user from a user device 102 and generates a user-specific persona code for the end user based on the predicted human emotion parameters. Further, the system (100) generates a spatial-temporal chromatic identifier for the end user based on at least one of the determined geo-spatial data and the spatial-temporal data. Further, the system (100) correlates the user-specific persona code with the generated spatial-temporal chromatic identifier using an artificial intelligence-based data orchestration model and predicts the desired assets and predicts dynamic pricing values for each of the predicted desired assets using an artificial-intelligence based pricing model. Furthermore, the system (100) outputs the desired assets and the predicted dynamic pricing values for each of the determined desired assets on a user interface.

In an example embodiment, a system is provided having multiple software assistants act as an interface to one or more LLMs. These assistants share contextual information about an ongoing shared conversation, but otherwise direct their respective LLM(s) to generate content based on the assistants' individual personas. The result is that a single conversation can include generated content from one or more LLMs based on multiple different personas.

The present teaching relates to conduct persona-adaptive communications with a customer at a geo-locale. Transcripts of a current and historic communications involving the customer are used to characterize the persona of the customer. Transcripts of historic communications with customers at the geo-locale are used to characterize the persona of the geo-locale. Current persona of the customer exhibited in the current communication is combined with the customer's persona and the geo-locale's persona to compute a response input vector, A language model generates, based on the response input vector, a persona-adaptive response, which is then sent to the customer a response.

A computer system for generating a virtual reality replicant persona for interaction with a user is disclosed. The computer system includes at least one processor programmed to: (i) receive a plurality of data about an individual from a plurality of sources; (ii) generate a replicant persona of the individual based upon the plurality of data including mannerisms, appearance, personality, historical information, and conversational talking points of the individual; (iii) receive a request from the user requesting an interaction with the replicant persona; (iv) generate an individual avatar based upon the replicant persona to be presented to the user within a virtual reality environment; (v) build a user profile during the interaction within the virtual reality environment by detecting personality traits and mannerisms of the user; and (vi) generate an updated replicant persona of the individual by incorporating the user profile into the replicant persona to generate an updated individual avatar.

A system includes a hardware processor configured to execute a machine learning (ML) model training pipeline to train an ML model using data relevant to a world of a digital persona to provide a dialogue model, generate, using the dialogue model, first conversational outputs, train the dialogue model, based on the first conversational outputs, to avoid hallucinations and / or undesirable expressions to provide a guardrailed dialogue model, generate, using the guardrailed dialogue model, second conversational outputs, train the guardrailed dialogue model, based on the second conversational outputs and persona data identifying interaction characteristics of the digital persona to provide a persona-specific model, generate, using the persona-specific model, a response to a scripted question, determine a quality score for the response, and further train the persona-specific model or validate the persona-specific model for human interaction, depending upon whether the quality score fails to satisfy or satisfies a quality criterion.

Systems and methods disclosed include identifying a topic and a perspective of an input text to be sent to a receiver, determining a receiver perspective based on the topic of the input text and a receiver persona associated with the receiver, determining, by comparing the perspective of the input text and the perspective of the receiver, whether the input text includes a language having an offensive probability beyond an offensive probability threshold, after determining that the input text includes the language having the offensive probability beyond the offensive probability threshold, providing an option to modify the input text on a user interface of the sender, and modifying the input text to have the offensive probability below the offensive probability threshold when the option is selected.

A device for creating digital persona, which includes a data collection module responsible for collecting personality data of a target object, a personality training module utilizing a large language model and the personality data to train and generate a virtual personality model with personality characteristics of the target object, thereby generating a virtual personality consistent with the personality characteristics of the target object, an appearance video generation module and voice generation module respectively utilizing face replacement and voice cloning technologies to extract the pictures and sounds from the personality data to generate a virtual personality model with the appearance and voice characteristics of the target object, a lip synchronization module, utilizing lip synchronization technology to ensure that the mouth shape and voice of the digital persona are synchronized, and an interactive module, providing an interactive interface that allows users to interact with the virtual personality and receive responses from it.

Implementations relate to dynamically adapting a given assistant output based on a given persona, from among a plurality of disparate personas, assigned to an automated assistant. In some implementations, the given assistant output can be generated and subsequently adapted based on the given persona assigned to the automated assistant. In other implementations, the given assistant output can be generated specific to the given persona and without having to subsequently adapt the given assistant output to the given persona. Notably, the given assistant output can include a stream of textual content to be synthesized for audible presentation to the user, and a stream of visual cues utilized in controlling a display of a client device and / or in controlling a visualized representation of the automated assistant. Various implementations utilize large language models (LLMs), or output previously generated utilizing LLMs, to reflect the given persona in the given assistant output.

Certain aspects provide a computer-implemented method for evaluating social media marketing campaigns using artificial intelligence (AI). The method comprises using a large language model (LLM) to generate a plurality of AI personas. Each AI persona represents a different segment of a target audience of a marketing campaign. The method uses a transformer model, a decision tree-based model, and a natural language processing (NLP) model to predict a response, a rating, and a feedback to the marketing campaign for each AI persona that represents a different segment of the target audience. The predicted responses, ratings, and feedback for the AI personas that represent different segments of the target audience are aggregated to form an evaluation of the marketing campaign for each segment of the target audience. The method sends the evaluation of the marketing campaign to a user.

The present disclosure discloses systems and methods for managing behaviour-based personalized services The system (102) obtains multi-modal data associated with user (116) from data sources. The system (102) determines user emotions and behavioural attributes associated with user (116) based on multi-modal data using artificial-intelligence model. The system (102) further generates user persona model based on user emotions and behavioural attributes. Further, the system (102) computes behavioural score for user based on user persona model. The system (102) predicts probable interactions of the user with applications based on behavioural score using generative artificial intelligence (Gen-AI) models. The system(102) determines o modifications to be made to service configurations of the applications (108A-N) by simulating the behavioural score and the predicted future interactions onto virtual applications. The system (102) modifies the service configurations based on the modifications. Furthermore, the system (102) outputs behavioural score as a token to the applications (108A- N).

An embodiment may receive observed data from a monitored system. The embodiment may receive a request to generate a contextual report based on the observed data. The embodiment may identify a relevant persona corresponding to the request based on a series of linguistic cues. The embodiment may identify a list of suitable keywords based on the identified relevant persona. The embodiment may generate a persona-based contextual report for the observed data based on the identified relevant persona and the list of suitable keywords.

Disclosed herein is a service provider system and method to generate a persona token for a user, store the persona token at a restricted access database, and return a persona token identifier to the user. The persona token is used to generate persona insights, that can be provided to an artificial intelligence / machine learning algorithm along with an inquiry. The algorithm may identify goods or services based on the persona insights. Also disclosed herein are system and methods to attribute a user clicking on a product link, retaining and using the product information to link item level details to purchases, and making a purchase on the linked e-commerce / merchant website such that the originating website knows that a purchase ultimately resulted from the clicked ad.

Systems and methods for persona and entitlement handling in a firmware framework. In some embodiments, an Information Handling System (IHS) may include a controller, where the controller comprises firmware that, upon execution by a processing core, causes the processing core to instantiate an orchestrator; and a plurality of devices coupled to the controller, where each device comprises firmware that, upon execution by a corresponding processing core, causes the corresponding processing core to instantiate a node as part of a firmware framework, and where the orchestrator is configured to translate an Operating System (OS) setting into one or more node settings.

Systems and methods for migrating users and modifying workspace definitions of persona groups are described. In some embodiments, a memory storage device may have program instructions stored thereon that, upon execution by a workspace orchestration service, cause the service to: distribute a first workspace definition based upon a first persona group associated with a user to a client device operated by the user, where the user IHS is configured to instantiate a first workspace based upon the first workspace definition; and in response to a change in a productivity or security metric of the first workspace, determine whether to: (a) migrate the user to an existing second persona group, (b) create a third persona group and migrate the user to the third persona group, (c) modify the first persona group and migrate the user to the modified first persona group, or (d) identify a potential security threat.

A method for generating automated discourse data using computer-generated synthetic personas is disclosed. The method is implemented at a synthetic discourse data service executing as an API-based application within a distributed network of computers. The method includes receiving discourse input data via an API endpoint from a client device, generating an embedding vector representation of the discourse input data using a GPU-accelerated embedding generation model, and identifying candidate computer-simulated personas from a vector database. A subset of personas is dynamically selected based on a computed persona relevance score derived from vector distance calculations. A discourse activation value is computed for each selected persona, determining its engagement in a simulated discourse session. A batch processing framework instantiates an engagement subset of personas, which participate in a computer-simulated discourse session, generating synthetic discourse data stored in memory. The synthetic discourse data is selectively transmitted to a client device via an API response.

A method for generating automated discourse data using computer-generated synthetic personas is disclosed. The method is implemented at a synthetic discourse data service executing as an API-based application within a distributed network of computers. The method includes receiving discourse input data via an API endpoint from a client device, generating an embedding vector representation of the discourse input data using a GPU-accelerated embedding generation model, and identifying candidate computer-simulated personas from a vector database. A subset of personas is dynamically selected based on a computed persona relevance score derived from vector distance calculations. A discourse activation value is computed for each selected persona, determining its engagement in a simulated discourse session. A batch processing framework instantiates an engagement subset of personas, which participate in a computer-simulated discourse session, generating synthetic discourse data stored in memory. The synthetic discourse data is selectively transmitted to a client device via an API response.

This application is directed to systems and methods for information recommendation. In some embodiments, a disclosed method includes obtaining historic interaction data associated with past interactions of a plurality of users with a plurality of information items; generating a first set of item types involved in the past interactions jointly with an anchor item type; generating a second set of item types semantically associated with the anchor item type, e.g., for a user class; combining the first set of item types and the second set of item types to generate a list of target item types; generating a list of recommended information items based on the list of target item types; and in response to a first user's interaction with the anchor item type, enabling display of at least a subset of information items in the list of recommended information items on an electronic device associated with the first user.

Persona based modeling systems and techniques are described. In one or more examples, a user interface is displayed having a plurality of representations of a plurality of personas, each persona of the plurality of personas modeling one or more user characteristics. An input is received via the user interface as selecting a first persona and in response digital content is output via the user interface. The digital content is selected from a plurality of digital content based on the first persona. An input is then received selecting an option via the user interface to add the first persona to a second persona. A combined persona is generated based on the first persona and the second persona.

A computer-implemented method for generating a descriptive persona text for one or more users of a content recommendation system comprising: obtaining user data and / or associated content metadata for the one or more users, wherein the user data and / or associated content metadata is based on user activity of the one or more users; generating the descriptive persona text for the one or more users based on the user data and / or associated content metadata, wherein the generated descriptive persona text comprises at least a persona title and / or a persona description.

A system generates, based on a first agent for a first persona and content of an electronic document, first feedback information for the first persona. Based on a determination that the first feedback information for the first persona indicates a first value for an attribute of the electronic document that causes a conflict with second feedback information for a second persona and that a second value for the attribute of the electronic document has been selected to resolve the conflict, the system generates, based on the first agent for the first persona, the second value for the attribute, and the content of the electronic document, updated first feedback information for the first persona. The system generates, based on the updated first feedback information for the first persona, a multi-agent report for the electronic document and output the multi-agent report.

A method and a system for automatic evaluation of online debate arguments are provided. The method includes: defining multiple persona knowledge dimensions; tailor-making a prompt template according to the defined persona knowledge dimensions to generate a persona knowledge eliciting prompt; inputting the persona knowledge eliciting prompt to a pretrained language model to elicit persona knowledge; associating the elicited persona knowledge and the context and argument in the prompt to construct a knowledge-aligned prompt; and utilizing the knowledge-aligned prompt to fine-tune a debate evaluation model to evaluate persuasiveness / impact of the online debate arguments. The present invention can be applied to digital platforms equipped with tools to facilitate virtual discussions, incorporating features such as real-time feedback, interactive interfaces, and enhanced accessibility options to improve the overall debate experience, expand the range of platform participants, and thus make debates easier to understand and more attractive.

To easily increase variations of attributes of a dialogue partner and to support dialogue in accordance with the attributes of the dialogue partner.SOLUTION: A dialogue support system of one aspect of the present disclosure includes: a receiving unit for receiving persona information indicating a persona that characterizes a dialogue partner of a user; a persona generation unit for generating a persona generation prompt indicating features of the persona by using a large-scale language model on the basis of the persona information received by the receiving unit; and a dialogue control unit for controlling an avatar corresponding to the persona on the basis of the persona generation prompt generated by the persona generation unit and controlling dialogue between the avatar and the user.SELECTED DRAWING: Figure 1

To provide a system.SOLUTION: There is provided a system that includes: means for generating a persona by generative AI from business use materials and mail details of a specific person; and means for answering by the generated persona.SELECTED DRAWING: Figure 1

Methods and systems are provided for operating a persona-driven intelligence platform. Responsive to receiving inputs and / or instructions corresponding to a digital task, data records are retrieved from a database. The data records are clustered to generate a plurality of clusters of data records, based on a first set of attributes. A corresponding second set of attributes is obtained for each of the plurality of clusters, and a corresponding personality score vector is generated for each of the plurality of clusters, based on the second set of attributes. A dynamic persona corresponding to at least one of the plurality of clusters is generated by one or more large language model (LLM) agents and stored in a persona library. The disclosed methods and systems may enable improved real-time management of audience-driven digital workflows by automating unique persona generation, for enabling the optimization of digital tasks and data workflows to maximize relevancy.

Systems and methods are provided for data intake of data from an ingestion service indicating a user's online or offline behavior with respect to a domain. A domain persona system may receive a request to access an ingestion service. The domain persona system may then access the ingestion service to obtain the data and identify a subset of the data relevant to the user's online or offline behavior with respect to the domain. The domain persona system may further generate insights with respect to the identified subset and output at least one of the identified subset and the generated insights to a system that updates the domain persona.

This disclosure relates generally to method and system to generate persona-based commentary data for machine learning model card document. Existing techniques on model card are designed mainly for personas and understanding section of the model card document requires a certain level of expertise in machine learning. The method of the present disclosure receives a model card document comprising a plurality of sections and the model card document corresponds to a persona. Each section of the model card document obtains a metadata for the persona. The data curator machine learning model automatically generates a persona-based report trajectory for a plurality of sections of the metadata and a plurality of schema rules to generate a prompt template. The commentary generator ML model generates one or more commentary data for each section associated with the prompt template corresponding to the persona.

A dialogue support system according to one aspect of the present disclosure includes: a receiver configured to receive persona information indicating a persona that characterizes a dialogue partner of a user, a persona generator configured to generate a persona generation prompt indicating characteristics of the persona based on the persona information received by the receiver using a large language model, and a dialogue controller configured to control an avatar corresponding to the persona based on the persona generation prompt generated by the persona generator, and to control a dialogue between the avatar and the user.