Dynamic Product Placement in Digital Content via User Profile Matching
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Solution Overview
Problem
Conventional digital content advertising often annoys viewers with non-targeted, distracting advertisements that disrupt the viewing experience, as they are not integrated into the content and do not appeal to individual user interests.
Innovation Solution
A system that dynamically places product information within digital content based on user profile data, selecting and inserting brand names, products, or services at relevant locations within the content, ensuring the advertisements align with user interests and preferences, allowing seamless integration and user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If conventional non-targeted advertisements are placed in digital content, then advertising reach is improved, but viewer experience deteriorates due to annoyance and disruption
Solution Approach 1:
The patent applies local quality by customizing advertisements based on individual user profiles, interests, and viewing context. Instead of uniform advertising placement, the system dynamically selects and places ads tailored to each user's preferences, thereby maintaining broad reach while reducing annoyance through relevance.
Solution Approach 2:
The system performs preliminary action by pre-analyzing user profiles, viewing history, and content context before placing advertisements. This advance preparation enables the system to select ads that are likely to be relevant and non-disruptive, improving both reach and viewer experience.
2Reliability
If targeted advertising based on user profile data is implemented, then advertising effectiveness is improved, but system complexity increases
Solution Approach 1:
The patent implements universality by creating a multi-functional system that simultaneously performs user profile analysis, content context analysis, advertisement selection, and dynamic placement. This integrated approach manages complexity by consolidating multiple functions into a unified advertising delivery system.
Solution Approach 2:
The system employs feedback mechanisms by continuously monitoring user interactions with placed advertisements and using this information to refine future ad selections. This feedback loop improves advertising effectiveness while managing complexity through iterative optimization rather than overly complex initial designs.
3Productivity
If advertisements are dynamically placed based on user interests, then user engagement is improved, but processing time increases
Solution Approach 1:
The system reduces processing time by performing preliminary analysis of user profiles and content contexts in advance. User profiles are pre-processed and stored in an optimized format, and content is analyzed for advertising opportunities before the actual ad placement occurs, enabling fast dynamic selection without significant delays.
Solution Approach 2:
The patent applies dynamics by implementing a flexible, adaptive ad selection process that can quickly respond to different user contexts. The system dynamically adjusts advertisement placement based on real-time user data while using optimized algorithms to maintain fast processing speeds, balancing engagement improvement with time efficiency.
Data Source
AI summary
The techniques and systems described herein place product information at a location in digital content where an existing object occurs. The techniques may select the product information based on profile data indicative of interests of a user viewing the digital content. Accordingly, the techniques may identify existing objects in the digital content before the user begins viewing the digital content. The techniques may also receive or access product information to be placed in the digital content. The product information may include identifiable brands, products, or services. Then, while rendering the digital content before the user begins viewing the digital content or while the user is viewing the digital content, the techniques may select product information to dynamically place into a scene of the digital content at a location where the existing objects occur.