Content Presentation System Using Proximity and User Characteristics
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Solution Overview
Problem
Existing content presentation systems fail to effectively target users with third-party content, such as advertisements, based on their proximity and characteristics, leading to inefficient content delivery.
Innovation Solution
A method that involves receiving device identifiers, determining user proximity and characteristics, selecting and configuring third-party content items for presentation, and presenting them on a content presentation medium, using a processor to optimize content delivery based on user demographics and interests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If content is presented without considering user proximity and characteristics, then the system is simple and easy to operate, but content delivery efficiency is poor and user engagement is low
Solution Approach 1:
The system performs preliminary actions by collecting device identifiers and determining user characteristics and proximity information before content selection. This advance preparation enables efficient content delivery by pre-processing user data, so when content needs to be delivered, the system can quickly match appropriate content without complex real-time analysis.
Solution Approach 2:
The system introduces an intermediary layer that processes device identifiers and proximity information to determine user characteristics. This intermediary component bridges the gap between raw device data and content selection, simplifying the overall system architecture while improving content delivery efficiency through structured intermediate processing.
2Productivity
If generic content is presented to all users, then the system is easy to operate, but advertising efficiency is low and user engagement is poor
Solution Approach 1:
The system applies local quality by tailoring content presentation to specific user groups based on their proximity and characteristics. Instead of uniform generic content, the system configures different content for different user segments (e.g., users in close proximity versus users farther away), thereby improving advertising efficiency while maintaining manageable configuration through automated segmentation.
Solution Approach 2:
The system changes parameters such as user proximity distance and device characteristics to dynamically adjust content selection and configuration. By varying these parameters, the system automatically adapts content presentation to different scenarios, improving advertising efficiency without requiring manual configuration for each case.
3Productivity
If content is configured based on detailed user characteristics and proximity, then user engagement improves, but the processing complexity and time increase
Solution Approach 1:
The system applies partial action by focusing on the most influential user characteristics and proximity metrics rather than analyzing every possible parameter. This selective approach maintains high user engagement by capturing the essential factors that drive content effectiveness while reducing processing time by avoiding unnecessary analysis of less relevant parameters.
4Productivity
If third-party content is selected without considering user characteristics, then the system is simple to operate, but content relevance and user engagement are low
Solution Approach 1:
The system implements feedback mechanisms by using device identifiers and proximity information to determine user characteristics, which then feed into the content selection process. This feedback loop ensures content relevance by continuously matching content to user profiles while keeping the selection process automated and manageable, avoiding excessive complexity in the content selection system.
Data Source
AI summary
This specification describes technologies relating to content presentation. In general, one aspect of the subject matter described in this specification can be embodied in methods that include the actions of receiving one or more respective identifiers, each being associated with a respective device, determining respective proximities of the to a content presentation medium, processing the identifiers to determine one or more characteristics that pertain to users of the one or more devices, selecting third party content items based on the characteristics, configuring the third party content items for presentation at the content presentation medium based on (a) the proximities of the devices to the content presentation medium and (b) the characteristics, and presenting the third party content items at the content presentation medium. Other embodiments of the various aspects include corresponding systems, apparatus, and computer program products.