Multiple User Profiles for Shared Streaming Recommendations
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Solution Overview
Problem
Existing streaming platforms generate user profiles based on individual user data, limiting recommendations to a single profile and failing to account for shared viewing experiences among multiple users.
Innovation Solution
A system and method for generating multiple user profiles by analyzing metadata from two or more user profiles to identify shared media content preferences, allowing for group profiles and recommendations tailored to users who watch together.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single user profile is generated based on individual user data, then the recommendation system is simple to implement, but it fails to account for shared viewing experiences among multiple users
Solution Approach 1:
The patent combines multiple individual user profiles into a single household profile that aggregates viewing data from all users in the household. This merging approach enables the system to account for shared viewing experiences and generate recommendations that reflect collective preferences, while avoiding the complexity of managing multiple separate recommendation algorithms.
Solution Approach 2:
The household profile serves multiple functions: it stores individual user preferences, aggregates collective viewing behavior, and generates both individualized and shared recommendations. This multi-functional design allows a single profile structure to handle both individual and group recommendation needs without requiring separate systems.
2Adaptability or versatility
If individual user profiles are used for recommendations, then personalized recommendations can be generated, but recommendations cannot be generated for groups of users watching together
Solution Approach 1:
The system merges data from multiple individual profiles into the household profile, preserving individual preferences while adding collective viewing information. This combination enables the generation of group recommendations that reflect shared viewing experiences without losing the nuanced individual user data.
Solution Approach 2:
The household profile is segmented to maintain both individual user sub-profiles and an aggregate household-level profile. This segmentation allows the system to access individual preferences when needed while also utilizing aggregated data for group recommendations, preventing loss of either individual or collective information.
3Productivity
If multiple user profiles are generated and analyzed, then group recommendations can be provided, but the system complexity increases
Solution Approach 1:
The patent merges multiple user profiles into a single household profile that consolidates viewing data from all users. This merging reduces the computational burden of analyzing multiple separate profiles while preserving the ability to generate high-quality group recommendations based on aggregated household viewing patterns.
Data Source
AI summary
The present disclosure is directed to methods and systems generating a multiple user profile. The profile system can create a multiple user profile based on metadata associate with two or more user profiles. The multiple user profile can include media content for the users to consume together based on shared attributes between the individual profiles of the users. The profile system can determine profiles that have similar attributes and send a recommendation for the users to join a group profile.