Mobile Content Delivery System with Personalized Scheduling
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Solution Overview
Problem
Current mobile device technologies have not fully leveraged the individuality of mobile devices to deliver targeted advertising and promotional content effectively, failing to capitalize on the unique characteristics and preferences of device owners.
Innovation Solution
A content delivery system for mobile devices that includes a database module for customer registration, a streaming module for content delivery, and a priority module for scheduling, allowing users to receive, rate, and share content based on personalized preferences, with PIN authentication and dynamic content delivery mechanisms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If targeted content delivery system is implemented, then marketing effectiveness and user engagement are improved, but device complexity and system infrastructure requirements increase
Solution Approach 1:
The patent introduces a content delivery system as an intermediary between advertisers and mobile devices. This system includes components such as a content delivery module, user profile database, and scheduling module that mediate the delivery of targeted content without requiring direct complex integration between advertisers and individual devices, thus improving marketing effectiveness while managing system complexity through centralized mediation
Solution Approach 2:
The content delivery system is designed to serve multiple functions: delivering targeted advertisements, providing promotional content, enabling user feedback mechanisms, and managing content scheduling. By creating a universal platform that handles diverse marketing and content delivery needs, the system improves overall marketing effectiveness without requiring separate specialized systems for each function
2Productivity
If personalized content delivery is implemented, then user engagement is improved, but data processing requirements and system resources increase
Solution Approach 1:
The system performs preliminary actions by pre-processing and categorizing content before delivery, and by maintaining user profiles with pre-analyzed preferences. The scheduling module pre-plans content delivery timing based on user behavior patterns, reducing the need for intensive real-time data processing during actual content delivery, thus improving user engagement while conserving data processing resources
Solution Approach 2:
The patent applies local quality by delivering personalized content based on specific user characteristics and preferences stored in user profiles. Rather than processing all user data uniformly, the system tailors content delivery to individual user segments with specific attributes, optimizing data processing resources by focusing analysis and delivery on relevant user subsets rather than treating all users identically
3Reliability
If content delivery scheduling is implemented, then content relevance is improved, but system complexity and operational overhead increase
Solution Approach 1:
The scheduling module implements periodic action by delivering content at predetermined intervals and times based on user behavior patterns and preferences. Rather than continuously monitoring and adjusting content delivery, the system uses scheduled periodic deliveries triggered by user actions or time-based events, improving content relevance while reducing the operational complexity of continuous real-time scheduling
Data Source
AI summary
A content delivery system for a mobile device includes sending a program rating message to a first registered customer to query whether the first registered customer desires to rate content. The system delivers a program share message to the first registered customer to query whether the first registered customer desires to share the content. The system provides a list of friends to the first registered customer, whereupon the first registered customer selects a second registered customer from the list. The system delivers content to the second registered customer, providing an incentive to the first registered customer.