Dynamic Content Selection via Real-Time User State Analysis

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Solution Overview

Problem

Existing content suggestion systems often fail to provide relevant content to users during a current session due to reliance on historical analysis, which may not align with the user's current mental state and context, leading to irrelevant or distracting content.

Innovation Solution

A system that dynamically determines a user's current mental state and context through real-time analysis of navigation, interaction, and environmental factors to identify and render content that is most receptive to the user during a session, using a dynamic content selection platform with components for state determination, context analysis, and content selection.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If historical analysis of user's previous browsing sessions is used to determine advertisement content, then content can be suggested based on past user behavior, but the content may not be relevant to the user's current mental state and context

Engineering Contradiction:

Improveuser browsing historyVSAvoidcontent relevance to current session

Core Design Contradiction:

Loss of informationVSAdaptability or versatility

Solution Approach 1:

The system transitions from static historical analysis to dynamic real-time analysis by continuously monitoring user interactions, navigation patterns, and session context during the current browsing session to adapt content suggestions dynamically

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system implements feedback loops by analyzing user interactions with suggested content and adjusting subsequent content recommendations in real-time based on engagement signals such as clicks, dwell time, and navigation behavior

Inventive Principle:

Principle #23Feedback

2Productivity

If advertisement systems present content based on previous session analysis, then content can be generated from available data, but the content may distract or annoy the user during current session

Engineering Contradiction:

Improvecontent generation efficiencyVSAvoiduser distraction and annoyance

Core Design Contradiction:

ProductivityVSObject-affected harmful factors

Solution Approach 1:

The system changes the parameters used for content selection from historical aggregate data to real-time session-specific parameters including current navigation state, engagement level, and contextual signals to reduce harmful effects

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The system performs preliminary analysis of user context and mental state indicators at the beginning of each session to pre-filter appropriate content categories before generating specific recommendations, preventing potentially distracting content from being presented

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS9712587B1Identifying and rendering content relevant to a user's current mental state and context

Publication Date: 2017.07.18 GOOGLE LLC

AI summary

Systems and methods are provided for identifying and rendering content relevant to a user's current mental state and context. In an aspect, a system includes a state component that determines a state of a user during a current session of the user with the media system based on navigation of the media system by the user during the current session, media items provided by the media system that are played for watching by the user during the current session, and a manner via which the user interacts with or reacts to the played media items. In an aspect, the state of the user includes a mood of the user. A selection component then selects a media item provided by the media provider based on the state of the user, and a rendering component effectuates rendering of the media item to the user during the current session.