AI Client Device Personalizing Ads Without User Identifiers
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Solution Overview
Problem
Existing advertisement personalization technologies face challenges in protecting user privacy, as they often rely on user identifiers, which raises concerns about data protection and privacy issues.
Innovation Solution
A client device equipped with an artificial intelligence learning model processes user activity information to generate personalized advertisement queries, transmitting them to an advertisement management server without revealing user identifiers, allowing for personalized advertisement delivery while maintaining user privacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If user identifiers and personal information are transmitted to servers for advertisement personalization, then advertisement personalization accuracy is improved, but user privacy protection deteriorates
Solution Approach 1:
The patent extracts and removes user identifiers from the data transmission process. Instead of transmitting identifiable user information to servers, the system uses anonymized activity information and AI-based models to generate personalized advertisements, thereby eliminating the harmful factor of user privacy risk while maintaining personalization capability
Solution Approach 2:
The patent introduces an intermediary AI-based advertisement personalization unit that acts as a mediator between user activity information and advertisement generation. This intermediary processes activity information locally on the client device without requiring server transmission of identifiable user data, thus resolving the contradiction between personalization accuracy and privacy protection
2Object-affected harmful factors
If AI learning models are deployed on client devices for advertisement personalization, then user privacy protection is improved, but device complexity increases
Solution Approach 1:
The patent applies partial action by implementing a simplified AI learning model specifically tailored for advertisement personalization tasks. Rather than requiring complex full-stack AI systems, the system uses a focused model that processes activity information and generates advertisements, reducing the complexity burden on client devices while maintaining privacy protection benefits
Data Source
AI summary
Disclosed is a client device for personalizing an advertisement, the client device including a memory storing instructions, and a processor, wherein the processor is configured to execute the instructions to obtain, through an advertisement personalization unit, activity information about a user related to the client device, based on an artificial intelligence learning model and the activity information, generate, through the advertisement personalization unit, a personalized advertisement query for the user, transmit, through the advertisement personalization unit, the advertisement query to an advertisement management server, receive, through the advertisement personalization unit, information about at least one advertisement corresponding to the advertisement query, from the advertisement management server, and provide, through the advertisement personalization unit, part or all of the information about the at least one advertisement, to an advertisement output unit.