Live Content Insertion Timing for Continuous Stream Playback

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Solution Overview

Problem

Existing content streaming services struggle to seamlessly integrate live content into continuous content streams, as live content often contains uninteresting portions and is difficult to predict when interesting segments will occur, leading to inconsistent user engagement.

Innovation Solution

A method for identifying optimal insertion points in a continuous content stream by scheduling live content items based on estimated end times and interesting portions, using server-side components to manage the timing and relevance of live content recommendations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If live content is inserted into continuous content streams, then user engagement is enhanced, but timing and relevance consistency deteriorates due to unpredictable interesting segments

Engineering Contradiction:

Improveuser engagementVSAvoidtiming and relevance consistency

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system performs preliminary analysis of live content to identify interesting portions and their expected timing before insertion into the content stream. This advance preparation allows the system to predict when interesting segments will occur and schedule their insertion accordingly, resolving the contradiction between enhancing user engagement and maintaining timing consistency

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system uses feedback from content analysis and user behavior data to continuously refine the timing predictions for interesting portions. By monitoring which segments are actually interesting and adjusting future predictions based on this feedback, the system maintains reliable timing and relevance while consistently delivering engaging content

Inventive Principle:

Principle #23Feedback

2Adaptability or versatility

If interesting portions of live content are identified and scheduled, then content relevance is improved, but system complexity increases due to timing computation requirements

Engineering Contradiction:

Improvecontent relevanceVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system segments live content into distinct interesting portions with defined time boundaries. By dividing the continuous live stream into discrete, analyzable segments, the system can apply timing computations to individual portions rather than the entire stream, reducing overall system complexity while maintaining high content relevance

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system changes the temporal parameters of content scheduling by working with estimated end times and duration-based interesting portions rather than fixed schedules. This parameter transformation allows flexible relevance optimization without requiring complex real-time scheduling computations

Inventive Principle:

Principle #35Parameter changes

3Duration of action of stationary object

If live content scheduling is based on estimated end times, then continuous playback is maintained, but prediction accuracy deteriorates

Engineering Contradiction:

Improvecontinuous playbackVSAvoidprediction accuracy

Core Design Contradiction:

Duration of action of stationary objectVSMeasurement precision

Solution Approach 1:

The system applies beforehand cushioning by incorporating time buffers and margin estimates into the scheduling of live content segments. These cushions account for potential variations in actual content duration and interesting portion timing, ensuring continuous playback is maintained while compensating for prediction inaccuracies

Inventive Principle:

Principle #11Beforehand cushioning (Prior cushioning)

Solution Approach 2:

The system employs dynamic scheduling where estimated end times and interesting portion timings are continuously adjusted based on actual content flow and user engagement patterns. This dynamic approach allows the system to adapt to timing variations while maintaining continuous playback, effectively managing the trade-off between playback continuity and prediction precision

Inventive Principle:

Principle #15Dynamics

Data Source

PatentUS12574426B2Identifying insertion points for inserting live content into a continuous content stream

Publication Date: 2026.03.10 GOOGLE LLC

AI summary

A system and method for identifying insertion points for inserting live content into a continuous content stream is disclosed. A live content item to include in a content stream presented to a user of a client device is identified. The live content item is identified based on a user preference of the user of the user. The live content item is determined to be presented based on a start time of the live content item. An indicator of the live content item is caused to be presented on a user interface at the start time of the live content item during playback of the content stream.