Symmetrical Object Profiles for Dynamic User Profiling
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Solution Overview
Problem
Existing user profiling systems for targeted advertising are inefficient due to inaccuracies, static nature, and lack of information, leading to ineffective matching of users with desired content or advertisements.
Innovation Solution
Implementing symmetrical object profiles that dynamically update based on interactions, allowing attributes to influence each other, enabling more accurate and evolving representations of user interests across various object types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional user profiling is used for targeted advertising, then the system can deliver ads to users, but the profiling accuracy decreases over time due to static nature and information deficiencies
Solution Approach 1:
The patent transforms static user profiles into dynamic profiles that continuously update based on user interactions. The system monitors user activities, purchases, and preferences in real-time, automatically adjusting profile attributes to reflect current user interests and behaviors, thereby maintaining profiling accuracy without manual intervention
Solution Approach 2:
The system implements feedback loops where user interactions with advertisements and content are continuously monitored and fed back into the profiling system. This feedback mechanism allows the system to learn from user responses and refine profile accuracy over time, addressing the degradation issue of traditional static profiles
2Measurement precision
If detailed user profiling is implemented to improve matching accuracy, then the precision of matching increases, but the complexity of the system increases
Solution Approach 1:
The patent divides the complex profiling system into modular components: data collection modules, processing modules, storage modules, and matching modules. Each component handles specific tasks independently, making the overall system more manageable and easier to maintain while achieving high matching precision through coordinated operation of these segmented parts
Solution Approach 2:
The system creates a universal profile structure that can accommodate multiple types of user data and interaction patterns. This multi-functional profile framework handles diverse information sources (demographics, behaviors, preferences) within a unified system, reducing complexity by avoiding the need for separate systems for different data types
3Device complexity
If static user profiles are used, then the system is simpler to manage, but the profiles do not reflect evolving user interests over time
Solution Approach 1:
The patent implements self-updating profiles that automatically adjust based on user interactions without requiring manual management. The system autonomously collects data from various sources, processes information, and updates profile attributes, eliminating the need for complex manual profile management while maintaining high adaptability to changing user interests
Data Source
AI summary
A system is described that implements symmetrical object profiles across one or more objects, wherein an object profile is influenced by other object profiles with which it interacts. In particular, the system includes a configuration for a first object profile that is associated with a first object, wherein the first object profile comprises a set of attributes having a first set of valuations. The system includes a configuration for a second object profile that is associated with a second object, wherein the second object profile comprises said set of attributes having a second set of valuations. The system includes a profile updater for managing the first object profile and the second object profile, wherein in a transaction involving the first and second objects, corresponding object profiles are updated based on valuations in the first and second set of valuations.