Mobile Device Targeted Content via Digital Signage Metadata
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Solution Overview
Problem
Conventional systems fail to effectively determine user preferences and deliver targeted content in shopping complexes, as they lack the ability to analyze metadata from digital signage boards and adapt content based on user interactions.
Innovation Solution
A method and system where a mobile device receives metadata from digital signage boards, determines user preferences by correlating location-based product categories with user interactions, and receives targeted content based on these preferences, using processors to analyze metadata and communicate with application servers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional systems display content on digital signage boards without analyzing user interactions, then content delivery is simple and device complexity is low, but user preference determination is inaccurate and content relevance is poor
Solution Approach 1:
The patent introduces a server as an intermediary component that receives metadata from digital signage boards and user interaction data from mobile devices. The server performs the complex analysis and preference determination, while the digital signage board and mobile device maintain their existing simple functions. This mediator approach allows accurate user preference determination without increasing the complexity of the core display and interaction components.
Solution Approach 2:
The system enables the digital signage board to serve multiple functions: displaying content to users and simultaneously providing metadata for analysis. The mobile device also serves dual purposes: user interaction interface and data collection tool for preference analysis. This multi-functionality approach improves measurement precision without requiring separate dedicated systems for each function.
2Adaptability or versatility
If the system collects and analyzes metadata from digital signage boards and user interactions, then targeted content delivery is improved, but data processing time and loss of time increase
Solution Approach 1:
The system performs preliminary actions by continuously collecting and storing metadata from digital signage boards and user interaction data in advance. This pre-collected data is then quickly retrieved and processed when needed for targeted content delivery, reducing the time required for real-time analysis and decision-making.
Solution Approach 2:
The system implements feedback mechanisms where user interactions with digital signage content are continuously monitored and fed back into the analysis system. This feedback loop enables the system to learn from user behavior patterns and improve targeting accuracy over time, while the established data processing framework minimizes delays in incorporating new interaction data.
3Adaptability or versatility
If the system uses location-based metadata to determine product categories and user preferences, then content relevance is improved, but measurement precision requirements increase
Solution Approach 1:
The system applies local quality by using location metadata to determine the general area or section where a user is present, then tailoring content to that specific location context. Rather than requiring precise point-level location accuracy, the system adapts content quality and relevance to the local area, such as displaying products or information relevant to that section of the shopping complex.
Data Source
AI summary
A method and a system for receiving targeted content are disclosed. In an embodiment, in a mobile device at least a first metadata corresponding to a first content displayed on a digital signage board is received, based on a predetermined action performed by the mobile device. The first metadata comprises at least a location of the digital signage board. A second metadata corresponding to one or more product categories associated with one or more products in vicinity of the digital signage board is determined, based on the location of the digital signage board. One or more user preferences are determined based on the first metadata and the second metadata. The targeted content is received on the mobile device based on the one or more user preferences.