Methodology for building and tagging relevant content

Inventors

Brust, Thomas EdwinKennedy, PhilKhan, JamalJohnson, Jay W.Waddell, Tom

Assignees

Theratec Inc

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Publication Number

US-9183262-B2

Patent

Publication Date

2015-11-10

Expiration Date


Abstract

Systems and methods for content tagging and creation within an information system are described herein. Content tagging may include the processing of unstructured data as input and the transformation of the unstructured data into structured data that has context relative to a user or a group of users. The content may include an action statement suggesting at least one action for the user to perform. The tagging process may associate the action statement with a tag provided from a hierarchy of tag classifications, the tag being relevant to motivating the user to perform at least one action contained in the action statement (for example, the performance actions facilitating the user's achievement of a health goal). The content and associated tagging data may then be stored in the information system for consumption by the content suggestion engine. Further techniques for tagging and accessing tagged data are also described.

Core Innovation

The invention relates to converting an unstructured action statement into structured, tagged data for use by a content suggestion engine. A plurality of tags are defined in a hierarchical categorization for application to respective content items, and an action statement stored in a database of unstructured data is processed so that a particular tag relating to a characteristic of a human is selected and associated with the action statement in a database of structured data.

For generating a user-targeted content suggestion, the content suggestion engine determines a condition of a human user indicated by a user profile associated with the human user. The engine determines an applicable tag based on the condition and selects a subset of the plurality of content items using the applicable tag, where the subset includes the action statement, and incorporates the action statement within a content suggestion.

The invention further supports structured delivery and user-facing presentation through computing device output using a graphical user interface, and it is implemented in an information system and in a non-transitory machine-readable storage medium. The information system includes a tagging module defining and applying hierarchical tags and a content suggestion module that selects content items using the content suggestion engine based on profile conditions and associated tags, and then outputs a matched content item for presentation on a display.

Claims Coverage

The provided materials include three independent claims. Across these claims, the core claim coverage includes defining hierarchical tags, associating action statements or content items with tags, selecting tagged content using user-condition-derived applicable tags from user profiles, and outputting a selected suggestion for display in a graphical user interface.

Hierarchical tagging of unstructured action statements for selection by a content suggestion engine

Defining a plurality of tags in a hierarchical categorization; obtaining an action statement stored in a database of unstructured data; selecting a particular tag to apply to the action statement, wherein the particular tag relates to a characteristic of a human action described by the action statement; and associating the action statement with the particular tag in a database of structured data, for use by a content suggestion engine.

Profile-condition-based applicable tag selection to form a subset and generate a goal-directed content suggestion

Determining a condition of a human user indicated by a user profile associated with the human user; determining an applicable tag based on the condition of the human user indicated by the user profile; selecting a subset of the plurality of content items using the applicable tag, the subset including the action statement; incorporating the action statement within a content suggestion generated for the human user; and selecting the human action described by the action statement to encourage progress towards a goal defined by the human user.

Hierarchical tagging module and content suggestion module in an information system for tag-based user-condition matching and output

An information system comprising a tagging module configured to define a plurality of tags in a hierarchical categorization, associate the at least one tag of the plurality of tags to the respective content items; and a content suggestion module configured to determine a condition of a human user indicated by a user profile associated with the human user; determine an applicable tag based on the condition of the human user indicated by the user profile; select content items using the applicable tag; and select a content item for output on a display of a computing device, based on a match of profile characteristics stored for the human user to the at least one tag of the plurality of tags associated with the content items.

Administrative tagging interface and client content interface using a content suggestion engine

A non-transitory machine-readable storage medium comprising instructions that generate a tagging interface for display within a graphical user interface accessible by an administrative user to define a plurality of tags in a hierarchical categorization and apply the plurality of tags to the respective content items; select content items using a content suggestion engine by determining a condition of a client user indicated by a user profile, determining an applicable tag based on the condition, and selecting a subset of content items for presentation to a client user using the applicable tag; and generate a content interface for display within a graphical user interface accessible by the client user to display the subset of content items to the client user.

Across the independent claims, the invention is directed to hierarchical tagging that structures unstructured action statements or tagged content items, then uses conditions determined from user profiles to determine applicable tags, select tagged content items or subsets, and output the selected content as goal-directed content suggestions via graphical user interfaces.

Stated Advantages

Encourages progress towards a goal defined by the human user.

Documented Applications

No documented applications found

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