Ad Knowledge Management System for Privacy-Preserving Targeted Advertising
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Solution Overview
Problem
Existing targeted advertising systems lack subscriber control over privacy and data usage, leading to potential misuse of personal information for advertising purposes, and fail to effectively adapt advertisements to diverse access devices and contexts.
Innovation Solution
An Advertising Knowledge Management System (AKMS) that utilizes subscriber-directed privacy controls, product interest correlation scores, and real-time contextual information to select and deliver targeted advertisements across various access devices, ensuring opt-in settings and adapting formats to match device capabilities while using anonymous data for advertising selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If targeted advertising is implemented using subscriber data, then advertising effectiveness is improved, but subscriber privacy control is worsened
Solution Approach 1:
The patent introduces an Advertising Knowledge Management System (AKMS) as an intermediary between advertisers and subscribers. The AKMS collects anonymous usage information, generates correlation scores for product categories, and enables targeted advertising without exposing personal subscriber data. This mediator architecture allows effective targeted advertising while protecting subscriber privacy through anonymous data processing.
2Productivity
If personalized advertising is sent to selected individuals, then revenue per advertisement impression is improved, but device compatibility is worsened
Solution Approach 1:
The patent applies local quality by adapting advertisement formats to match specific device capabilities. The system determines device characteristics (such as screen resolution, processing power, and supported formats) and selects or transforms advertisements to be appropriately formatted for each device type. This ensures that personalized advertisements can be effectively delivered across diverse devices including set-top boxes, personal computers, and mobile devices.
3Object-generated harmful factors
If anonymous data is used for advertising selection, then subscriber privacy control is improved, but measurement precision is worsened
Solution Approach 1:
The patent creates anonymized copies of subscriber usage data that retain the statistical patterns needed for effective advertising targeting while removing personally identifiable information. The system generates correlation scores based on these anonymous copies of usage patterns, enabling precise advertising targeting without compromising subscriber privacy. The anonymous data copies preserve the essential behavioral patterns while eliminating privacy risks.
Data Source
AI summary
In one embodiment, a method for selecting targeted advertising, is disclosed including monitoring subscriber event data from a first and a second access subscriber device, calculating a product interest correlation score in a plurality of product categories for the subscriber based on the subscriber event data, reviewing an advertiser database to select an advertisement in the product categories, and selecting a format to deliver the selected advertisement to. a third subscriber access device. In another embodiment, a system is disclosed for selecting an advertisement to send to a subscriber, including an internet profiling module that monitors subscriber event data, an internet profiling database for storing and classifying the event data monitored by the internet profiling module, an advertiser index database for storing advertiser detail information, and an intelligent correlation scoring system (ICSS) processor coupled to the internet profiling database, user profile and the advertiser index database.