Media Profile Clustering to Separate Shared Account Viewing Habits

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Solution Overview

Problem

Media content systems face challenges in providing accurate recommendations when multiple users share a single account, leading to mixed content suggestions, bandwidth waste, and difficulty in enforcing password-sharing restrictions due to undifferentiated consumption habits.

Innovation Solution

The system generates exclusive profiles for individual users by clustering content consumption data, allowing users to select specific clusters for their profiles, and adjusts recommendations based on these clusters.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If multiple users share a single account, then the system can serve multiple users with one account, but recommendation accuracy deteriorates due to mixed consumption habits

Engineering Contradiction:

Improveaccount sharing capabilityVSAvoidrecommendation accuracy

Core Design Contradiction:

Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The patent segments the joint profile into multiple exclusive profiles by clustering consumption data into distinct groups. Each cluster represents a different user's consumption patterns, and the system creates separate profiles for each cluster. This allows the system to maintain single-user recommendation accuracy while still supporting multiple users through one account.

Inventive Principle:

Principle #1Segmentation

2Productivity

If the system provides recommendations based on joint consumption data, then all users receive recommendations, but bandwidth is wasted delivering irrelevant content to users

Engineering Contradiction:

Improverecommendation deliveryVSAvoidbandwidth usage

Core Design Contradiction:

ProductivityVSLoss of energy

Solution Approach 1:

The patent extracts and separates consumption data from the joint profile into distinct clusters representing individual users. By taking out and isolating each user's consumption patterns into separate exclusive profiles, the system can deliver targeted recommendations only to the appropriate users, eliminating bandwidth waste from irrelevant content delivery.

Inventive Principle:

Principle #2Taking out (Extraction)

3Quantity of substance

If the system retains records of all content sent to the joint profile, then comprehensive data is maintained, but storage space is consumed by irrelevant content records

Engineering Contradiction:

Improvedata recordsVSAvoidstorage space

Core Design Contradiction:

Quantity of substanceVSVolume of stationary object

Solution Approach 1:

The patent segments the comprehensive consumption data into distinct clusters and creates separate exclusive profiles for each cluster. This segmentation allows the system to retain only the relevant data records for each user in their respective exclusive profiles, removing redundant and irrelevant content records from the joint profile, thereby reducing overall storage requirements.

Inventive Principle:

Principle #1Segmentation

4Ease of operation

If the system uses a single profile for the account, then profile management is simple, but the system cannot distinguish between individual user consumption habits

Engineering Contradiction:

Improveprofile managementVSAvoiduser distinction information

Core Design Contradiction:

Ease of operationVSLoss of information

Solution Approach 1:

The patent implements a self-service mechanism where the system automatically clusters consumption data and creates exclusive profiles without requiring manual user intervention. The clustering algorithm autonomously identifies distinct user patterns and generates separate profiles, preserving individual user information while maintaining ease of operation through automated profile management.

Inventive Principle:

Principle #25Self-service

5Adaptability or versatility

If cloning is used to transfer profiles between accounts, then profile transfer is enabled, but user distinction is lost when users leave the household

Engineering Contradiction:

Improveprofile transfer capabilityVSAvoiduser habit distinction

Core Design Contradiction:

Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The patent segments the joint profile into distinct exclusive profiles through clustering before transfer. When a user leaves the household, their exclusive profile (containing only their specific consumption patterns) can be independently transferred to a new account via cloning. This ensures that user habit distinction is preserved during transfer, as each exclusive profile contains only the relevant data for that specific user.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS12470770B2System and methods for creating a profile based on content clustering

Publication Date: 2025.11.11 ADEIA GUIDES INC

AI summary

Systems and methods are provided herein for enabling a media content system to create an exclusive profile based on a joint profile that was used to interact with a plurality of content items provided by a media service. The joint profile contains consumption data for all users who interacted with the plurality of content items. Based on the consumption data, the system identifies a plurality of clusters containing content items with similar metadata and generates a user interface with an identifier corresponding to each cluster and identifiers corresponding to the content items of each cluster. In response to receiving a selection of a subset of the clusters, the system generates an exclusive profile with the selected clusters. The exclusive profile contains the consumption data associated with the content items of the selected clusters and the system then recommends content items to the exclusive profile based on that consumption data.