Ad Filtering System Using User Preference Matching
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Solution Overview
Problem
Existing digital advertising systems on social media and streaming platforms lack targeted ad delivery, leading to user frustration, reduced engagement, and ineffective ad campaigns due to irrelevant ads.
Innovation Solution
An advertisement management and filtering system that includes user and advertiser applications, a server system with a user management module, advertisement management system, and targeting engine, and an API module for seamless communication, enabling personalized ad delivery based on user preferences and advertiser criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If untargeted advertisements are delivered to users, then advertisers can reach a broad audience, but user experience deteriorates due to irrelevant and frustrating ads
Solution Approach 1:
The system performs preliminary actions by collecting user preference data and demographic information before ad delivery, then uses this pre-collected data to filter and select relevant advertisements. The user profile database stores preferences in advance, allowing the system to quickly match ads to users without real-time analysis, thus delivering relevant ads while maintaining broad advertiser reach.
Solution Approach 2:
The patent introduces an intermediary filtering system between advertisers and users. This intermediary component includes a user profile database and ad filtering logic that mediates the interaction by selecting appropriate ads based on user preferences, thereby protecting users from irrelevant ads while still enabling advertisers to reach their target audiences effectively.
2Quantity of substance
If users are exposed to frequent advertisements, then advertiser revenue increases, but user engagement decreases due to ad fatigue and frustration
Solution Approach 1:
The system applies local quality by customizing the ad experience for each user based on their specific preferences and demographic profile. Instead of a uniform ad delivery approach, the system selectively delivers ads that match individual user interests, thereby maintaining user engagement even with frequent ad exposure. Each user receives a tailored ad mix that is relevant to their preferences.
3Ease of manufacture
If advertisers use broad targeting strategies, then ad delivery cost decreases, but ad effectiveness drops due to low relevance to individual users
Solution Approach 1:
The system implements self-service by automatically matching ads to users based on pre-stored preference data in the user profile database. The filtering system autonomously selects relevant ads without requiring manual configuration for each campaign, reducing advertiser effort and cost while improving effectiveness. The system serves itself by continuously learning from user interactions and refining ad matching.
Data Source
AI summary
An advertisement management and filtering system and includes a user advertisement filter application installed on user devices and an advertiser advertisement filter application installed on advertiser devices is disclosed. The server system comprises a user management module, an advertisement management system with an advertisement database, and a targeting engine for matching ads to user profiles based on preferences. An API module facilitates communication between user and advertiser applications and external platforms. The method includes receiving user ad preferences, syncing them across multiple platforms, receiving and categorizing ads from advertisers, and displaying matched ads to users. The system leverages machine learning for improved ad targeting and offers a comprehensive solution for personalized ad delivery, ensuring relevant advertisements reach the appropriate audience.