Image-Derived Advertising Targeting Metrics
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional advertising methods lack precision in targeting users, as they cannot utilize user-specific information derived from interactions with computing devices, limiting the relevance of advertisements.
Innovation Solution
Analyzing publicly and non-publicly available images to derive advertising targeting metrics, including physical attributes and preferences, which can be used to select and display tailored advertisements, with options for local processing to enhance privacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional advertising methods are used, then advertising can be displayed to users, but the targeting precision is low and relevance to users is limited
Solution Approach 1:
The patent segments user information into multiple dimensions including publicly available information, non-publicly available information, and image-derived metrics. This segmentation allows the system to process and utilize different types of user data separately, thereby improving targeting precision without overwhelming system complexity
Solution Approach 2:
The patent introduces a new dimension for advertising targeting by deriving metrics from user images (physical attributes, demographic information). This adds a visual dimension to traditional text-based user profiling, significantly enhancing targeting precision beyond conventional methods
2Measurement precision
If non-public images are processed remotely to derive advertising metrics, then more precise user information can be obtained, but user privacy is compromised
Solution Approach 1:
The patent extracts the image processing function from remote servers and relocates it to the user's local computing device. This extraction allows precise user information to be derived locally without transmitting sensitive non-public images to external servers, thereby maintaining privacy while achieving accurate metrics
Solution Approach 2:
The user's computing device acts as an intermediary that processes non-public images locally. Instead of directly transmitting images to advertising servers, the local device derives metrics and sends only the processed information, serving as a privacy-protecting intermediary between the user and the advertising system
3Adaptability or versatility
If more user-specific information is collected for advertising targeting, then advertisement relevance increases, but user privacy concerns increase
Solution Approach 1:
The patent creates a local copy of the image processing capability on the user's computing device. Instead of sending original images to servers for analysis, the system uses local processing to generate advertising metrics, thereby collecting necessary user-specific information while keeping the actual image data private and local
Data Source
AI summary
Advertising targeting metrics for individuals can be derived from images associated with those individuals. Such advertising targeting metrics can include physical attributes, as well as preferences based on prior activity, or history. Public images associated with specific user identities can be processed and advertising targeting metrics can be derived therefrom to more accurately tailor the advertisements displayed to the individuals associated with those user identities. Additionally, non-public images can be likewise processed, either remotely or, for greater privacy, locally if so allowed by the user. Advertisers can then utilize the greater breath of advertising targeting metrics that can be derived from images to more accurately target advertisements to specific groups. In doing so, advertisers can submit their own images of exemplary targeted users, and the targeting metrics for those advertisers' advertisements can be automatically derived from the submitted images utilizing equivalent algorithms.