Message Clustering via W4 Data Attribution and Correlation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional messaging systems fail to effectively utilize information related to senders and recipients to tailor and enhance messages, as they do not consider spatial, temporal, and social data for personalized delivery.
Innovation Solution
The W4 Communications Network (W4 COMN) collects and analyzes data on 'Who, What, When, and Where' interactions to dynamically deliver messages based on specific conditions, grouping messages into clusters and tailoring their content using an attribution engine, correlation engine, and attention engine for personalized delivery across multiple communication channels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional messaging systems deliver messages in the form sent by the sender, then message delivery is simple and fast, but message content cannot be individually tailored to recipients using available information about senders and recipients
Solution Approach 1:
The patent introduces an intermediary system between the sender and recipient that collects, processes, and analyzes data about both parties. This intermediary uses correlation engines and attribution engines to match message content with recipient characteristics, enabling personalized message delivery without requiring the sender to directly interact with complex personalization logic. The intermediary acts as a mediator that transforms generic messages into tailored communications based on available information about recipients.
Solution Approach 2:
The system performs preliminary actions by collecting and storing information about senders and recipients before message delivery occurs. Data collection includes demographic information, behavioral patterns, preferences, and contextual data that are processed and stored in advance. When a message is sent, the system already has pre-processed information ready to enable rapid personalization without adding significant delay to the delivery process.
2Measurement precision
If messages are clustered and analyzed using multiple data sources, then message relevance and targeting improve, but information processing time and computational resources increase
Solution Approach 1:
The system performs data collection, cleaning, and preliminary analysis in advance before message delivery is needed. Information about senders and recipients is gathered continuously and pre-processed into structured formats that can be quickly queried during message delivery. This preliminary preparation reduces the computational burden at the moment of message routing, enabling precise targeting without excessive processing delays.
Solution Approach 2:
The patent segments the message delivery process into distinct functional components: data collection, data processing, message clustering, analysis, and delivery. Each segment handles specific tasks independently, allowing parallel processing and optimization of individual stages. The segmentation enables the system to manage complex multi-source data processing through modular operations rather than monolithic computation.
3Reliability
If multiple communication channels are monitored for message delivery, then message delivery accuracy and condition-based routing improve, but system complexity and data processing requirements increase
Solution Approach 1:
The patent creates a universal message delivery system that can handle multiple communication channels (email, SMS, instant messaging, social media) through a single integrated platform. The system uses common data structures, unified routing logic, and standardized processing procedures that work across different channels. This multi-functionality approach allows the system to monitor and route messages through various channels without requiring separate specialized systems for each channel, thereby improving reliability while controlling complexity.
Data Source
AI summary
The disclosure describes systems and methods delivering communications associated with delivery conditions in which the occurrence of the delivery condition is determined by monitoring information received from a plurality of sources via multiple communication channels. The message delivery systems allow messages to be delivered to any “Who, What, When, Where” from any “Who, What, When, Where” upon the detection of an occurrence of one or more “Who, What, When, Where” delivery conditions. A message (which may be any data object including text-based messages, audio-based message such as voicemail or other audio such as music or video-based prerecorded messages) is delivered in accordance with delivery conditions based on any available data, including topical, spatial, temporal, and/or social data. Furthermore, because the systems coordinate delivery of messages via multiple communication channels and through multiple devices, the communication channel for delivery of a message may be dynamically determined based on the delivery conditions.