Streaming Content Skip History Automation

Solution Overview

Problem

Current content streaming technologies require manual user input for modifying content, disrupting the user experience and preventing automation in content delivery, as they rely on direct user preferences for modifications.

Innovation Solution

A system that groups users based on browsing behavior patterns to generate a crowd-sourced skip history, allowing for automated exclusion of unwanted content portions during streaming, using a content server that receives and analyzes skip commands from multiple users to determine crowd-sourced skip boundaries.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If manual user input is required for modifying content delivery, then content can be customized to user preferences, but user experience is disrupted and automation is prevented

Engineering Contradiction:

Improvecontent customizationVSAvoiduser experience

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The system enables self-service by automatically analyzing crowd-sourced skip history data and generating modified content streams without requiring manual user input. The content delivery system serves itself by using aggregated user behavior data to autonomously determine what portions of content to skip, eliminating the need for users to manually provide preferences while still achieving personalized content delivery.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent introduces crowd-sourced skip history data as an intermediary between user preferences and content delivery. Instead of direct manual input from each user, the system uses aggregated skip history from multiple users as a mediator to automatically determine content modifications, thereby maintaining customization while removing the burden of manual input.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Adaptability or versatility

If manual user input is required for content modification, then content can be adapted to preferences, but automation of content control is prevented

Engineering Contradiction:

Improvecontent adaptationVSAvoidcontent control automation

Core Design Contradiction:

Adaptability or versatilityVSExtent of automation

Solution Approach 1:

The system enables self-service by automatically analyzing crowd-sourced skip history data and generating modified content streams without requiring manual user input. The content delivery system serves itself by using aggregated user behavior data to autonomously determine what portions of content to skip, eliminating the need for users to manually provide preferences while still achieving personalized content delivery.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system implements feedback by continuously collecting skip history data from multiple users and using this feedback to automatically adjust content delivery. The aggregated skip history serves as feedback that drives the automated content modification process, allowing the system to learn from user behavior patterns and automatically adapt content without manual intervention.

Inventive Principle:

Principle #23Feedback

3Adaptability or versatility

If users must manually input preferences every time content modification is desired, then content can be customized, but service continuity is disrupted

Engineering Contradiction:

Improvecontent customizationVSAvoidservice continuity

Core Design Contradiction:

Adaptability or versatilityVSDuration of action of stationary object

Solution Approach 1:

The system performs preliminary action by pre-processing skip history data from multiple users and storing it as crowd-sourced skip history before it is needed for content delivery. This pre-computed data is then automatically applied during content streaming without requiring real-time user input, thereby maintaining service continuity while enabling customization.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system enables self-service by automatically analyzing crowd-sourced skip history data and generating modified content streams without requiring manual user input. The content delivery system serves itself by using aggregated user behavior data to autonomously determine what portions of content to skip, eliminating the need for users to manually provide preferences while still achieving personalized content delivery.

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS11381654B2Streaming content based on skip histories

Publication Date: 2022.07.05 ROKU INC

AI summary

Disclosed herein are various for a providing streaming content based on clustered behavior patterns. In an embodiment, a request for content is received from a first receiver associated with a first user. Each member is grouped into the cluster based a user interface browsing behavior pattern. A plurality of skip commands associated with the requested content from a plurality of receivers associated with at least a subset of the plurality of users of the cluster is received. A crowd source skip history is generated for the requested content for the cluster using at least the received plurality of skip commands. The requested content is transmit to the first receiver associated with the first user who is a member of the cluster, wherein a portion of the requested content identified by the crowd source skip history is excluded from the transmitted requested content.