Audience Scoring Apparatus for Privacy-Preserving User Classification
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Solution Overview
Problem
Existing methods face challenges in accurately grouping individuals based on shared characteristics and interests, as people often fail to record their activities and are reluctant to share personal information, making it difficult to identify relevant audiences for targeted advertising or notifications.
Innovation Solution
An apparatus and method that determine user membership in an audience by calculating a score based on contextual information, such as sensor data, and adjusting it for recency and other factors, to provide tailored outputs without requiring extensive personal data sharing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complete databases of personal information and activities are collected to accurately group people, then audience identification accuracy is improved, but user privacy protection deteriorates and data collection difficulty increases
Solution Approach 1:
The patent extracts only the essential scoring information needed for audience identification while leaving detailed personal data on user devices. The scoring module calculates audience scores based on local sensor data and contextual information, then transmits only the final score and audience membership status to external systems, eliminating the need to collect or store comprehensive personal information databases.
Solution Approach 2:
The patent introduces an intermediary scoring mechanism that mediates between raw sensor data and audience identification. The scoring module acts as a buffer that processes local sensor information and contextual data to generate audience scores, which then serve as the interface for external audience identification systems without exposing underlying personal information.
2Measurement precision
If detailed personal information is collected to determine user characteristics, then audience grouping accuracy is improved, but ease of data collection deteriorates
Solution Approach 1:
The patent implements self-service data collection where user devices automatically collect and process their own sensor data and contextual information locally. The scoring module on each device independently calculates audience scores based on locally available sensor readings and contextual data, eliminating the need for centralized data collection systems and reducing the complexity of data gathering infrastructure.
Solution Approach 2:
The patent performs preliminary data processing and scoring calculation on user devices before data leaves the device. The scoring module pre-calculates audience scores based on local sensor data and contextual information, so that when data is transmitted to external systems, it is already processed and ready for audience identification, reducing the burden on centralized systems.
3Productivity
If extensive personal data is shared to enable targeted advertising, then advertising effectiveness is improved, but user privacy protection deteriorates
Solution Approach 1:
The patent extracts only the necessary audience scoring information for targeted advertising while leaving detailed personal data on user devices. The system transmits only the calculated audience score and membership status to advertising systems, enabling effective audience targeting without sharing comprehensive personal information about users.
Solution Approach 2:
The patent implements local quality by processing and scoring data locally on user devices rather than centralizing all data processing. Each device maintains local control over its sensor data and contextual information, performing local scoring calculations that preserve privacy while still enabling effective audience identification for advertising purposes.
Data Source
AI summary
An apparatus is provided for determining an output based on a membership of the user in an audience. The apparatus includes a processor for determining a threshold associated with membership of an audience, determining a score relating to a user in dependence on one or more activities of the user associated with the audience wherein at least one activity is determined based on contextual information of the user, and determining the membership of the user in the audience in dependence on whether the score exceeds the threshold. Also included is a user interface and/or a communication interface for providing an output for the user based on the membership of the user in the audience.