Marker Insertion in Content Using ML Classification

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Solution Overview

Problem

Existing methods for inserting markers into content items, such as videos, often result in unnatural or awkward placements, negatively impacting user experience and revenue due to the erosion of content quality.

Innovation Solution

A system that uses machine learning and artificial intelligence to identify optimal locations for marker insertion within content items by analyzing classification characteristics generated from training data, allowing for more precise placement of creatives such as advertisements.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If markers are inserted at regular intervals based on content length, then advertising inventory can be populated, but user experience deteriorates due to unnatural marker placement

Engineering Contradiction:

Improveadvertising inventory populationVSAvoiduser experience degradation

Core Design Contradiction:

ProductivityVSObject-affected harmful factors

Solution Approach 1:

The system changes the parameters for marker placement from fixed regular intervals to dynamic positions determined by machine learning analysis of content characteristics. The ML model analyzes content features and predicts optimal insertion points that align with natural content transitions, thereby maintaining advertising inventory population while avoiding disruptive placements that harm user experience.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The patent replaces the mechanical/algorithmic system of fixed-interval marker insertion with an intelligent system using machine learning models. The ML model substitutes simple time-based or position-based insertion logic with content-aware decision-making that analyzes content characteristics to determine optimal marker locations, thus resolving the conflict between inventory population and user experience.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Object-affected harmful factors

If markers are placed at natural content transitions, then user experience is improved, but advertising inventory population becomes less predictable

Engineering Contradiction:

Improveuser experience qualityVSAvoidadvertising opportunity predictability

Core Design Contradiction:

Object-affected harmful factorsVSMeasurement precision

Solution Approach 1:

The system implements feedback mechanisms where the ML model is trained on historical data about content and user responses to marker placements. The model continuously learns from outcomes, adjusting its predictions to balance natural placement with advertising opportunity generation. This feedback loop enables the system to maintain user experience quality while improving the predictability of advertising inventory population over time.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system performs preliminary analysis of content using the ML model before final marker insertion. By pre-analyzing content characteristics and predicting optimal insertion points in advance, the system can plan advertising inventory population while ensuring placements align with natural content transitions. This preliminary action resolves the uncertainty between user experience improvement and advertising opportunity predictability.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20220369002A1Apparatuses and methods for facilitating an insertion of markers in content

Publication Date: 2022.11.17 AT&T INTELLECTUAL PROPERTY I L P

AI summary

Aspects of the subject disclosure may include, for example, applying first data associated with a first content item to a model to generate first classification characteristics, analyzing the first classification characteristics to generate a first marker, wherein the first marker delineates a first location of inventory within the first content item, selecting a first creative to populate a portion of the inventory, and populating, based on the selecting, the portion of the inventory with the first creative. Other embodiments are disclosed.