Context-Aware Content Delivery via Operational Mode Segmentation

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Solution Overview

Problem

Current content delivery systems fail to provide relevant content to users based on their specific modes of operation, such as home, work, or travel, leading to inefficiencies in targeting and relevance.

Innovation Solution

A system that identifies users and determines their operational mode through usage information, such as location and time, to deliver targeted content based on historical activities and location-specific targeting information.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If content delivery systems use general user targeting without mode differentiation, then the system complexity is low, but the content relevance to user context is insufficient

Engineering Contradiction:
Improvecontent relevanceVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments user context into distinct operational modes (e.g., home mode, work mode, travel mode) and creates mode-specific targeting information. This segmentation allows the system to differentiate content delivery based on user context without requiring complete redesign of the entire content delivery infrastructure, thus improving relevance while managing complexity through modular approach.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system performs preliminary evaluation of usage information to determine targeting information for multiple modes in advance. By pre-processing and storing mode-specific targeting data, the system can quickly retrieve and deliver relevant content when users switch modes, improving response time and relevance without adding real-time processing complexity.

Inventive Principle:
Principle #10Preliminary action

2Measurement precision

If the system evaluates usage information to determine multiple operational modes, then content targeting accuracy improves, but the processing time and computational resources increase

Engineering Contradiction:
Improvetargeting accuracyVSAvoidprocessing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system pre-evaluates usage information and stores targeting information for multiple modes in advance. This preliminary action allows the system to avoid time-consuming real-time analysis during content delivery, instead retrieving pre-computed targeting data which significantly reduces processing time while maintaining high targeting accuracy.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system continuously monitors user behavior and usage patterns to refine and update targeting information for different modes. This feedback mechanism allows the system to improve accuracy over time while using efficient algorithms to minimize processing delays, balancing between precision and speed.

Inventive Principle:
Principle #23Feedback

3Measurement precision

If the system stores and processes historical usage information for multiple modes, then the content relevance improves, but the data storage requirements and system complexity increase

Engineering Contradiction:
Improvecontent relevanceVSAvoiddata storage
Core Design Contradiction:
Measurement precisionVSQuantity of substance

Solution Approach 1:

The patent extracts and stores only the essential targeting information derived from historical usage data for each mode, rather than retaining all raw usage information. This extraction approach significantly reduces storage requirements while preserving the necessary data to determine mode-specific content relevance, thus managing the quantity of stored data effectively.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The system stores mode-specific targeting information locally and optimizes it for quick retrieval during content delivery. By organizing data according to operational modes and storing only the relevant portions of historical data for each mode, the system minimizes overall storage requirements while maintaining high relevance through localized data quality.

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS8886585B1Search suggestions based on viewport content
Publication Date: 2014.11.11 GOOGLE LLC
  • US8886585B1 patent drawing
  • US8886585B1 patent drawing
  • US8886585B1 patent drawing

AI summary

A method and computer program product for providing content to a user or computing device is disclosed. A plurality of operating modes for a computing device are identified based on usage information generated for the computing device over one or more periods of time. A request for content to display at the computing device is received, and the computing device is determined to be operating in at least one of the operating modes. User targeting information for the at least one of the operating modes is determined based on at least a portion of the usage information, and content for display at the computing device is provided based on the targeting information for the at least one of the operating modes.