Automated Media Asset Prioritization via Dynamic Topic Modeling

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Solution Overview

Problem

Existing media publishing models rely heavily on human editorial resources, which are inadequate for handling the exponential increase in available media assets and the need for instantaneous, personalized content delivery to diverse audiences, especially for smaller or regional relevance.

Innovation Solution

Automated prioritization and publishing of media assets based on current topics of interest derived from dynamic user activity data, treating media assets as text documents and using information retrieval techniques to rank and segment content for arbitrary audience segments.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If human editorial resources are used to select and prioritize media assets, then content quality and relevance can be maintained, but the system cannot handle the exponential increase in available media assets and cannot deliver instantaneous personalized content to diverse audiences

Engineering Contradiction:

Improvecontent delivery speedVSAvoideditorial resource requirements

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system enables media assets to self-prioritize based on their inherent attributes (text content, metadata) by automatically matching them against dynamically generated topic models derived from user activity data, eliminating the need for human editorial intervention in the selection process

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical human editorial process with an automated information retrieval system that uses text-based matching algorithms to rank and select media assets based on current topic interest, enabling instantaneous content delivery at scale

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If the number of available media assets increases exponentially to meet diverse user interests, then content variety and personalization improve, but human editors cannot possibly be aware of or prioritize all relevant assets

Engineering Contradiction:

Improvecontent varietyVSAvoideditorial workload

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The system creates a universal prioritization mechanism that handles all types of media assets (articles, videos, images) through a single automated process that generates topic models from user activity and matches them against asset text, replacing multiple specialized editorial functions

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

Each media asset is automatically evaluated and ranked by the system based on its text content matching current topic interest, without requiring human editorial review, enabling the system to handle exponentially increasing asset volumes

Inventive Principle:

Principle #25Self-service

3Loss of time

If media publishing operates in real-time to capture instantaneous audience interests, then content relevance to current events improves, but human editorial processes cannot respond fast enough for smaller or regional audiences

Engineering Contradiction:

Improveinformation cycle timeVSAvoidcontent production capacity

Core Design Contradiction:

Loss of timeVSProductivity

Solution Approach 1:

The system operates continuously by constantly monitoring user activity data to generate updated topic models and immediately re-ranking media assets based on current interest, creating an uninterrupted real-time publishing cycle that responds instantaneously to changing audience preferences

Inventive Principle:

Principle #20Continuity of useful action

Solution Approach 2:

The patent replaces the slow human editorial response cycle with an automated real-time system that continuously processes user activity data and instantly updates content prioritization, enabling rapid response to emerging topics for any audience size

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

4Productivity

If automated systems are used to prioritize media assets at scale, then productivity and real-time responsiveness improve, but the system must process and analyze vast amounts of user activity data dynamically

Engineering Contradiction:

Improvemedia asset prioritization speedVSAvoiddata processing requirements

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system segments the large-scale data processing task by generating separate topic models for different audience segments based on their activity patterns, allowing parallel processing of prioritization for multiple segments simultaneously without overwhelming system resources

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS7860878B2Prioritizing media assets for publication

Publication Date: 2010.12.28 R2 SOLUTIONS LLC

AI summary

Methods and apparatus are described by which media assets may be prioritized and published in accordance with current topics of interest derived from a dynamic data set representing the online activity of a relevant population of users.