User Relationship Data Association for Ad Targeting
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Solution Overview
Problem
Current advertisement systems fail to effectively increase user interactions and relevancy of advertisements, leading to suboptimal performance for advertisers and user experience.
Innovation Solution
A method and system that store user relationships and user profile data to assign interest data from one user to another, selecting relevant advertisements based on this data and providing them to the second user, enhancing user interaction and engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If advertisement systems use generic or broad user data for targeting, then advertisement delivery is simple and fast, but advertisement relevancy and user interaction rates decrease
Solution Approach 1:
The patent segments user data into multiple dimensions including demographic information, behavioral patterns, interest categories, and relationship-based data. This segmentation allows the system to process and match advertisements against specific user segments rather than treating all users uniformly, thereby improving advertisement relevancy while maintaining manageable processing complexity through structured data organization.
Solution Approach 2:
The patent introduces an intermediary advertising server that acts as a mediator between users and advertisers. This server consolidates the complexity of user data processing and advertisement matching algorithms in a centralized location, allowing client devices to receive pre-processed, relevant advertisements without bearing the computational burden of complex data analysis, thus improving relevancy without proportionally increasing end-user device complexity.
2Reliability
If advertisement systems collect and process more user data for targeting, then advertisement relevancy improves, but user privacy concerns and data security risks increase
Solution Approach 1:
The patent extracts and processes only the minimum necessary user data elements required for effective advertisement targeting. Rather than collecting comprehensive user profiles, the system identifies and processes specific data points such as basic demographics, current browsing context, and explicitly shared relationship information. This extraction approach maintains advertisement relevancy by focusing on high-value data while reducing privacy risks by minimizing data collection scope.
Solution Approach 2:
The patent implements mechanisms where users actively control their data sharing through relationship-based consent systems. Users can selectively share their data with specific connections and control what information is used for advertising purposes. This self-service approach empowers users to manage their own privacy settings and data exposure levels, reducing unwanted privacy intrusions while still enabling relevant advertising through user-approved data sharing.
3Productivity
If advertisement systems use simple targeting criteria, then system operation is easier and faster, but user interaction and engagement with advertisements decrease
Solution Approach 1:
The patent performs preliminary processing and categorization of user data in advance, organizing information into predefined segments and profiles before advertisement requests arrive. The advertising server pre-computes user segments, interest categories, and compatibility metrics based on available user data. When advertisement requests are received, the system can quickly match ads against pre-computed segments rather than performing complex real-time analysis, thereby improving user interaction rates through better targeting while maintaining operational speed.
Data Source
AI summary
Systems and methods for associating data with advertisements include storing a relationship between a first user and a second user in a memory, receiving an identification of user data from a first user of a website, assigning interest data for the second user based on the identified user data from the first user, associating the interest data with advertisements provided by an advertiser, and providing display data representing the advertisements associated with the interest data to the second user.