Device Context Segmentation for Media Service Personalization
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Solution Overview
Problem
Conventional video services fail to differentiate between users sharing the same account, leading to a polluted personalized interaction experience due to shared viewing history, which affects content recommendations and user preferences.
Innovation Solution
A media service provider system detects activities performed by users within different device contexts and creates local activity sets for each device context, excluding activities from other users to provide personalized experiences without requiring multiple profiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single user account is shared by multiple users, then the complexity of user management is reduced and shared content discovery is enabled, but the personalized interaction experience is polluted by mixed viewing histories
Solution Approach 1:
The patent segments the unified user account into multiple device contexts, where each device context maintains its own activity set. This segmentation allows the system to preserve personalized viewing histories for different users (child vs. parent) while keeping them under a single shared account, thus resolving the contradiction between account simplicity and personalization.
Solution Approach 2:
The patent introduces device context as an intermediary layer between the user account and activity tracking. This intermediary automatically attributes activities to the correct user based on the device being used, eliminating the need for manual profile switching while preserving personalized experiences.
2Loss of information
If multiple user profiles are implemented within the same account, then personalized experiences are preserved, but the ease of operation is reduced due to manual profile switching requirements
Solution Approach 1:
The system automatically performs the function of profile selection by detecting which device the user is currently using. The device context is established automatically without requiring user intervention, making the system self-serve the personalization need while maintaining ease of operation.
Solution Approach 2:
The system pre-establishes device contexts for each user device before the user needs to access personalized content. When a user logs in, their device context is automatically created or retrieved, so no manual profile selection is needed at the moment of use.
3Measurement precision
If device context-based activity tracking is implemented, then personalized recommendations are improved, but the device complexity of the system increases
Solution Approach 1:
The device context mechanism serves multiple functions simultaneously: it tracks user activities, enables personalized recommendations, prevents activity pollution, and maintains shared account benefits. This multi-functionality justifies the added complexity by delivering comprehensive solutions to multiple problems at once.
Data Source
AI summary
A system detects a first activity performed by a first user with respect to a media service while the first user is logged in to the media service with a particular user account and a second activity performed by a second user with respect to the media service while the second user is logged in to the media service with the particular user account, determines that the first activity is performed within a first device context and that the second activity is performed within a second device context, includes, based on the determination, the first activity in a local activity set associated with the first device context, the local activity set including one or more activities performed with respect to the media service exclusively in the first device context, and uses the local activity set to provide a personalized interaction experience with the media service within the first device context.