Systems and methods for determining information and knowledge relevancy, relevant knowledge discovery and interactions, and knowledge creation
AssigneeMatthew Jeremy Kapp
InventorsSimon James Button, Matthew Jeremy Kapp
Life of this patent
Estimating the term…
Abstract
Systems and methods for determining user specific information and knowledge relevancy, relevant knowledge and information discovery, user intent and relevant interactions via intelligent messaging, collaboration, sharing and information categorization, further delivering created knowledge accessible through a personalized user experience.
Claims25
A system for creating a personal ranking of specific to a user information, the system comprising:
- an interface for interfacing with online data, stored user data, and user device data;
- a processor executing an application to configured for analyzing information derived or inferred at least in part from the online data, the stored user data, and the user device data, wherein the analysis incorporates criteria derived or inferred from both the stored user data and the user device data;
- a database, the database configured for storing data relating to inputs and/or outputs of the relevance engine or the application, wherein the relevance engine is further configured for generating a series of personalised attention rankings outputs accessible by the user device by
- applying both a user-specific attention profile and a user-specific psychometric profile in producing machine readable, user-specific attention ranking of the online data;
- and
- further wherein the personalised attention rankings outputs are generated at least partially in response to changes in the personalised attention profile outputs or changes in the personalised the psychometric profile outputs specific to the user.
A method of generating a personal ranking of information specific to a user, the method comprising:
- interfacing with online data, stored user data and user device data;
- analysing information derived or inferred, at least in part, from the online data, stored user data and user device data, wherein the analysis incorporates criteria derived or inferred from both the stored user data and the user device data;
- generating an analysis output selected from a group consisting of personalised attention profile outputs, personalized psychometric profile outputs or a combination thereof;
- storing information relating to data from at least one data source selected from a group consisting of online data, stored user data and analysis output data;
- and
- generating a personalised attention ranking of the analysed information, wherein the personalised attention ranking is accessible to the user through the user device.
A system for generating a personal ranking of online data for a specific user, the system comprising:
- an interface configured for interfacing with online data, stored user data and user device data;
- a processor executing an application for accessing the online data and generating an analysis, wherein the analysis incorporates criteria derived or inferred from both the stored user data and the user device data;
- a relevance engine configured for receiving the analysis and applying both a user-specific attention profile and a user-specific psychometric profile to produce a machine readable, user-specific attention ranking of the online data;
- and
- a retrieval means through which the user accesses online data corresponding to at least a prioritized portion of the user-specific attention ranking.
A system for periodically generating a personal ranking of online data for a specific user, the system comprising:
- an interface configured for interfacing with online data, stored user data and user device data;
- a processor executing an application for accessing the online data and generating an analysis, wherein the analysis incorporates criteria derived or inferred from the stored user data and the user device data;
- a relevance engine configured for receiving the analysis and applying a user-specific attention profile and a user-specific psychometric profile to produce a machine readable, user-specific attention ranking of the online data;
- and
- a retrieval means through which the user accesses online data corresponding to at least a prioritized portion of the user-specific attention ranking.
Dependencies are inferred from the claim text.