Real-Time Push Notification Framework for Breaking News
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current content providing and hosting server systems lack the capability to deliver personalized, location and temporally sensitive breaking news in real-time, failing to effectively utilize social data and user feedback for timely notification of trending news stories.
Innovation Solution
A real-time push notification delivery framework that determines breaking news content, parses classification and location information, searches for aggregate content, identifies interested users, and composes a story page for personalized delivery, leveraging social data and user feedback to notify users of trending news.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If current content providing and hosting server systems are used, then system simplicity is maintained, but the capability to deliver personalized, location and temporally sensitive breaking news in real-time is lacking
Solution Approach 1:
The system is divided into distinct functional modules: a breaking news detection module that identifies trending news, a user identification module that analyzes user data to determine interest, and a notification delivery module that sends personalized alerts. This segmentation allows each module to specialize in specific tasks, enhancing adaptability while managing complexity through modular design.
Solution Approach 2:
The server system is enhanced with multi-functional capabilities to perform both traditional content hosting and new breaking news detection, parsing, and personalized notification delivery. This universal approach allows a single system to handle diverse functions without requiring completely separate specialized systems.
2Loss of time
If real-time push notification delivery framework is implemented, then timeliness of news delivery is improved, but processing complexity increases
Solution Approach 1:
User data is pre-analyzed and stored with interest indicators before breaking news events occur. When breaking news is detected, the system performs a quick match between the news classification and pre-stored user interest profiles, enabling rapid notification delivery without complex real-time analysis.
Solution Approach 2:
A classification system serves as an intermediary layer between breaking news content and user profiles. The news is first parsed into standardized classification categories, which then serve as keys for efficiently matching with pre-analyzed user interest data, simplifying the overall processing complexity.
3Measurement precision
If user data analysis is performed to identify interested users, then personalization accuracy is improved, but computational requirements increase
Solution Approach 1:
User interest profiles are constructed in advance by analyzing user data and storing standardized interest indicators. This preliminary processing transforms complex user behavior data into simplified interest tags that can be quickly matched with breaking news classifications, achieving high personalization accuracy with minimal computational resources during actual news delivery.
4Loss of information
If breaking news detection and parsing is performed in real-time, then news relevance is improved, but processing time increases
Solution Approach 1:
A classification parsing system acts as an intermediary that quickly transforms unstructured breaking news content into standardized categories and keywords. This intermediary layer enables rapid matching with pre-analyzed user interest profiles without requiring complex real-time analysis of the full news content, thus maintaining relevance while reducing processing time.
Data Source
AI summary
Disclosed are systems and methods for improving interactions with and between computers in a content system supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data across platforms, which data can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide a real-time (or near real-time) push notification delivery framework. The disclosed systems and methods enable the delivery of personalized, location and/or temporally sensitive breaking news to users' devices. The disclosed systems and methods leverage the explosion of social data, expert knowledge and user feedback, all available on-line, to deliver breaking (or trending) news stories to users in a personalized, location and/or temporally sensitive manner.