Content suggestion engine

Inventors

Brust, Thomas Edwin • Kennedy, Phillip • Khan, Jamal • Johnson, Jay W. • Waddell, Tom

Assignees

Theratec Inc

Abstract

Systems and methods for content selection and processing in an information system are described herein. In one example, a content suggestion engine operates to select, suggest, or recommend content to human users. The selection of content may be suited to a goal or set of goals set by a human user (for example, content recommendations used to assist the human user with achieving a personal health goal). The content suggestion engine may evaluate information to help determine the appropriateness of the content suggestions, considering factors such as a psychological profile, medical conditions, lifestyle, demographics, and goals. The content may be further filtered and weighted to select a subset of content and suggested actions most relevant to the human user.

Core Innovation

The invention is an intelligent content suggestion engine implemented as a non-transitory machine readable storage medium and a computer-implemented method for determining suggested content for a human user. The engine evaluates data that represents a plurality of personality and psychological characteristics of the human user and data that represents a plurality of behaviors and actions of the human user, where the characteristics and the behaviors and actions are relevant to an attainment of an overall health goal.

The engine selects context-sensitive content suggestions from a content information system, where each context-sensitive content suggestion indicates respective suggested actions for performance by the human user to assist attainment of the overall health goal. It filters a candidate set of context-sensitive content suggestions by matching the candidate set to the behaviors and actions of the human user and matching the candidate set to the personality and psychological characteristics of the human user.

After filtering, the engine prioritizes a selected content suggestion for presentation based on matching the selected content suggestion to the behavior and actions of the human user and matching the selected content suggestion to a current state of the human user. The prioritized selected content suggestion is transmitted as data for display in a graphical user interface of an electronic device, or generated as data for display by an information system.

Claims Coverage

The document includes three independent claims that share the core pipeline of evaluating personality and psychological characteristics and behaviors and actions, selecting context-sensitive content suggestions, filtering by matching, prioritizing based on a current state, and generating or transmitting data for graphical user interface display. Across the independent claims, there are five main inventive features driving the selection and presentation of suggested content.

Across the independent claims, the inventive coverage centers on a content suggestion pipeline that evaluates personality and psychological characteristics and behaviors and actions, selects context-sensitive content suggestions that indicate suggested actions, filters by matching to the user’s evaluated attributes, prioritizes based on matching to the user’s behaviors and actions and a current state, and then transmits or generates data for graphical user interface display.

Stated Advantages

Documented Applications

No documented applications found