User Profile Generation for Targeted Ad Placement
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Solution Overview
Problem
Advertisers face challenges in selectively targeting users with advertisements due to limited information about user preferences and behaviors across different online activities, leading to inefficient resource allocation.
Innovation Solution
A method that involves obtaining user credentials, identifying online activities, generating signatures based on these activities, and selecting relevant advertisements to populate content items, allowing for targeted ad placement based on user interests and market connections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If advertisers select advertisements based on limited user information, then resource allocation is simplified and processing time is reduced, but advertising effectiveness and user targeting precision deteriorate
Solution Approach 1:
The system performs preliminary actions by obtaining user credentials and identifying online activities before advertisement selection. User profiles are pre-built by collecting activity data across multiple websites, so that when advertisement selection is needed, the system can immediately match ads to pre-analyzed user interests without real-time information gathering delays
Solution Approach 2:
The patent introduces user profiles as an intermediary between user behavior data and advertisement selection. The profile acts as a mediator that consolidates scattered online activity information into a structured format that can be efficiently queried and matched with advertisement criteria, resolving the contradiction between comprehensive data analysis and efficient processing
2Measurement precision
If comprehensive user information is collected and analyzed, then advertising targeting precision is improved, but system complexity and information processing requirements increase
Solution Approach 1:
The system segments the complex task of user analysis into distinct components: credential verification, online activity identification, profile generation, and advertisement matching. Each component handles a specific aspect of user information processing, reducing overall system complexity while maintaining comprehensive analysis capabilities
Solution Approach 2:
The patent creates simplified copies of user information in the form of user profiles that capture essential interests and behaviors. Instead of processing all raw activity data during advertisement selection, the system works with condensed profile representations that preserve targeting precision while reducing computational complexity
3Loss of information
If user credentials and online activities are tracked, then information availability for decision-making is enhanced, but user privacy concerns and data security requirements worsen
Solution Approach 1:
The system extracts only the necessary information elements needed for advertisement targeting from complete user data. By selectively obtaining specific credentials and activity types relevant to ad selection, the system minimizes data collection while maintaining decision-making information availability, thereby reducing privacy risks
Data Source
AI summary
Aspects of the subject disclosure may include, for example, obtaining a first indication of a user of a communication device browsing a first website associated with a first vendor, obtaining a second indication of the user of the communication device browsing a second website associated with a second vendor that is different from the first vendor, determining, in accordance with the first indication and the second indication, that the first vendor and the second vendor operate in a common marketplace, responsive to the determining, obtaining an advertisement of the first vendor to provide to the communication device, and providing the advertisement to the communication device. Other embodiments are disclosed.


