Abstract: A method and system for biometric and psychometric based content display. The method includes storing a psychometric assessment instrument as a data structure on a mobile device. The psychometric assessment instrument includes user data for ascertaining a user’s psychometric identity. A server collects and tags content by attribute for each specific classification of the plurality of psychometric classifications. The content is further organized across three state classes and cross-referenced with a plurality of interests. A pulse rate is measured using a camera on the mobile device. The pulse rate is measured using temporal color contrast between two frames. The pulse rate is converted to a heart rate variability (HRV) measure, which is used to designate a current state class using an artificial intelligence (AI) model. The state class is used to automatically retrieve appropriate coaching media content for consumption on the mobile device.

Abstract: A method for determining a personality profile of an online user is disclosed. Social speech content data associated with an online user is stored. A machine learning model is used to determine a first personality profile of the online user based at least in part on the social speech content data associated with the online user. A second personality profile of the online user is determined based on the social speech content data using a scientific personality model encoded in an ontology, wherein the ontology encodes statistical relationships between a plurality of words and a plurality of personality traits based on one or more scientific research studies. An ensemble model is applied to determine a third personality profile of the online user based at least in part on the first personality profile and the second personality profile.

Abstract: A method for determining a personality profile of an online user is disclosed. Social speech content data associated with an online user is stored. A machine learning model is used to determine a first personality profile of the online user based at least in part on the social speech content data associated with the online user. A second personality profile of the online user is determined based on the social speech content data using a scientific personality model encoded in an ontology, wherein the ontology encodes statistical relationships between a plurality of words and a plurality of personality traits based on one or more scientific research studies. An ensemble model is applied to determine a third personality profile of the online user based at least in part on the first personality profile and the second personality profile.

Abstract: A method for determining a personality profile of an online user is disclosed. Social speech content data associated with an online user is stored. A machine learning model is used to determine a first personality profile of the online user based at least in part on the social speech content data associated with the online user. A second personality profile of the online user is determined based on the social speech content data using a scientific personality model encoded in an ontology, wherein the ontology encodes statistical relationships between a plurality of words and a plurality of personality traits based on one or more scientific research studies. An ensemble model is applied to determine a third personality profile of the online user based at least in part on the first personality profile and the second personality profile.

Abstract: A method for determining a personality profile of an online user is disclosed. Social speech content data associated with an online user is stored. A machine learning model is used to determine a first personality profile of the online user based at least in part on the social speech content data associated with the online user. A second personality profile of the online user is determined based on the social speech content data using a scientific personality model encoded in an ontology, wherein the ontology encodes statistical relationships between a plurality of words and a plurality of personality traits based on one or more scientific research studies. An ensemble model is applied to determine a third personality profile of the online user based at least in part on the first personality profile and the second personality profile.

Abstract: A method and system of provisioning resources from a central location via a third party resource provisioning management (RPM) service provider. Various levels of provisioning may be obtained. Organizations may obtain resource provisioning from a third party RPM resource provider using a third party server. At an affiliate level, various resource vendors may be part of a resource exchange, sharing resources with other affiliates within the exchange. At a public provisioning infrastructure level, an individual organization may obtain access to resources within the infrastructure, subject to receipt of a provisioning ticket and appropriate identity authentication.

Abstract: A method and system of provisioning resources from a central location via a third party resource provisioning management (RPM) service provider. Various levels of provisioning may be obtained. Organizations may obtain resource provisioning from a third party RPM resource provider using a third party server. At an affiliate level, various resource vendors may be part of a resource exchange, sharing resources with other affiliates within the exchange. At a public provisioning infrastructure level, an individual organization may obtain access to resources within the infrastructure, subject to receipt of a provisioning ticket and appropriate identity authentication.