Dynamic Pre-Filtering for Privacy-Preserving Ad Recommendations
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Solution Overview
Problem
Existing targeted advertising technologies compromise user privacy by collecting sensitive physical browsing data, such as location and personal activities, which are not effectively utilized due to privacy concerns.
Innovation Solution
Deploying a pre-filter on user devices to process and infer relevant advertising data locally, ensuring compliance with user privacy policies, and transmitting only inferred data to advertisers, thus protecting user privacy while providing tailored advertisements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If physical browsing data is collected for targeted advertising, then advertising effectiveness is improved, but user privacy is compromised
Solution Approach 1:
The patent segments the advertising system into multiple components: a data collection module that gathers physical browsing data, a processing module that analyzes the data, and a delivery module that sends targeted ads. This segmentation allows privacy-preserving techniques to be applied at specific stages while maintaining overall advertising effectiveness.
Solution Approach 2:
The patent introduces intermediaries such as trusted third-party processors and privacy-preserving computation protocols that mediate between data collection and advertising delivery. These intermediaries enable targeted advertising while protecting user privacy by preventing direct access to sensitive physical browsing data.
2Productivity
If sensitive physical browsing data is transmitted to advertisers, then personalized advertising is improved, but data security is worsened
Solution Approach 1:
The patent extracts only the necessary advertising-relevant features from sensitive physical browsing data while leaving the raw sensitive data on user devices. This extraction approach enables personalized advertising based on inferred characteristics without transmitting actual sensitive information such as precise locations or personal activities.
Solution Approach 2:
The patent performs preliminary data processing and anonymization on user devices before data transmission. By pre-processing data to remove sensitive information while retaining advertising value, the system enables personalized advertising while maintaining data security from the outset rather than attempting to secure data after transmission.
3Measurement precision
If comprehensive physical browsing information is collected, then advertising targeting precision is improved, but user trust is reduced
Solution Approach 1:
The patent applies partial action by collecting and processing only the minimum necessary physical browsing data required for effective advertising targeting, rather than comprehensively collecting all available data. This selective approach maintains advertising precision while reducing privacy concerns and preserving user trust.
Solution Approach 2:
The patent implements feedback mechanisms that allow users to control their data sharing preferences and receive information about how their data is used. This transparency and user control foster trust while still enabling precise advertising targeting within user-defined boundaries.
Data Source
AI summary
A method for targeted advertisement includes transmitting a pre-filter to the user device, responsive to contextual information from a user device, to determine, using a processor, one or more inferences based on physical browsing information, collected at the user device, in compliance with one or more privacy policies of the user. The method also includes receiving one or more inferences determined by the pre-filter from the user device and transmitting one or more targeted advertisements to the user device based on one or more inferences.