Simulated User Profile for Privacy and Content Diversity
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Solution Overview
Problem
Existing user profiling techniques by content providers often result in over-profiling, leading to banality and potential privacy violations, as well as under-profiling, which fails to provide accurate user content, due to the inability to effectively manage user data and preferences.
Innovation Solution
The implementation of a system that uses simulated users to interact with content providers, where a simulated request is transmitted on behalf of a real user, allowing for a diverse range of user features to be represented without revealing personal information, thereby avoiding over- or under-profiling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If user profiling technique is used to provide personalized content, then content relevance to user preference is improved, but user privacy is compromised and over-profiling leads to banality
Solution Approach 1:
The patent creates a simulated user that copies the behavioral patterns and preferences of real users without actually being a real user. The simulated user interacts with the content provider, and the provider uses the simulated user's profile to generate personalized content recommendations. This copying approach allows the system to maintain privacy by not using actual user data while still achieving personalized content delivery.
Solution Approach 2:
The simulated user acts as an intermediary between the real user and the content provider. Instead of the content provider directly accessing and profiling real user data, the simulated user mediates this interaction by providing a proxy profile that reflects user preferences without exposing actual user information. This intermediary approach resolves the contradiction by enabling personalized content while protecting privacy.
2Measurement precision
If user profiling technique is used to provide personalized content, then content relevance to user preference is improved, but over-profiling causes banality and reduces content diversity
Solution Approach 1:
The system dynamically manages the simulated user's profile by periodically updating it with new interaction data while maintaining historical profile information. This dynamic approach allows the system to adapt to changing user preferences over time while preserving diversity in content recommendations. The simulated user's profile is continuously refined through new interactions, preventing the system from becoming stuck in over-profiling patterns that would lead to banality.
Solution Approach 2:
The system performs preliminary actions by pre-configuring the simulated user with a diverse set of initial preferences and interaction patterns before actual content delivery begins. This preliminary setup ensures that the simulated user has a broad enough profile foundation to recommend diverse content while still being able to adapt to specific user preferences, thereby preventing banality from the outset.
3Measurement precision
If user profiling technique is used to provide personalized content, then content relevance is improved, but under-profiling fails to provide accurate user content
Solution Approach 1:
The system maintains continuous interaction between the simulated user and the content provider, ensuring that the simulated user's profile is continuously updated and refined. This continuous action prevents under-profiling by consistently gathering and processing interaction data, thereby maintaining accurate and reliable content recommendations over time.
Solution Approach 2:
The system implements feedback mechanisms where the simulated user's interactions with content are continuously monitored and used to refine the profile. This feedback loop ensures that the profile accurately reflects user preferences and that content recommendations remain reliable and accurate, preventing under-profiling issues.
4Object-affected harmful factors
If simulated user is used to transmit request, then user privacy is protected and content diversity is improved, but system complexity increases
Solution Approach 1:
The simulated user serves multiple functions simultaneously: it protects user privacy, enables personalized content delivery, and maintains content diversity. By making the simulated user a multi-functional component, the system avoids the need for separate mechanisms for each of these goals, thereby reducing overall system complexity despite the added functionality.
Data Source
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AI summary
An electronic device is provided. The electronic device includes a memory storing instructions, and at least one processor configured to execute the instructions to obtain a request of a user which is input for a provider, and provide a result obtained by transmitting to the provider at least one simulated request of at least one simulated user corresponding to the request.