Communication Network Message Relevance Filtering
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Solution Overview
Problem
Existing communication network methods experience high data traffic and potential failures due to the need to send a large number of messages to multiple recipients, leading to inefficiencies and the risk of unimportant messages reaching recipients, such as spam.
Innovation Solution
A method that uses a central server to generate test and survey messages with varying parameters, evaluates reaction behaviors, and adjusts the selection parameter to determine the relevance of final messages for recipients, ensuring only relevant messages are sent, thereby reducing data traffic and protecting recipients from unimportant communications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a large number of messages are sent to multiple recipients to ensure message delivery, then message coverage is improved, but data traffic increases and network reliability deteriorates
Solution Approach 1:
The system performs preliminary relevance determination before message transmission by analyzing recipient profiles, message content, and historical behavior data. This pre-filtering action identifies only those recipients for whom the message is relevant, preventing unnecessary transmissions and reducing data traffic while maintaining reliable delivery to actual recipients.
Solution Approach 2:
The system extracts and removes irrelevant messages and recipients from the communication process. By analyzing message characteristics and recipient preferences, the system filters out combinations that would result in spam or unwanted communications, transmitting only the essential relevant message-recipient pairs, thereby reducing overall data traffic volume.
2Loss of information
If all messages are transmitted to all recipients, then message completeness is improved, but network stability deteriorates due to high data traffic
Solution Approach 1:
The system implements feedback mechanisms that monitor network conditions, message delivery outcomes, and recipient responses. This feedback loop allows the system to dynamically adjust transmission decisions, ensuring complete message delivery to relevant recipients while adapting to network capacity constraints and preventing overload that would compromise stability.
Solution Approach 2:
The system performs preliminary relevance assessment and recipient identification before transmission, completing all necessary analysis upfront. This preliminary action ensures that no relevant messages are omitted while avoiding unnecessary transmissions that would burden the network, thus maintaining both message completeness and network stability.
3Speed
If relevance determination is performed after message transmission, then message delivery speed is improved, but message quality deteriorates due to spam delivery
Solution Approach 1:
The system performs relevance determination as a preliminary action before message transmission by analyzing recipient profiles, message content, and behavioral data. This pre-transmission filtering ensures high message relevance accuracy by identifying appropriate recipients in advance, while the actual transmission to identified recipients proceeds quickly without post-transmission processing delays.
Solution Approach 2:
The system introduces an intermediary relevance determination layer between the message source and recipients. This intermediary component analyzes and filters messages before transmission, ensuring high relevance accuracy without slowing down the actual transmission process to identified recipients, thus maintaining both speed and precision.
Data Source
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AI summary
The invention relates to a method for communication in a communication network (1) having at least one transmitter (2) and at least one receiver, wherein the transmitter (2) sends at least one message to the receiver and a relevance of the message for the receiver is ascertained, wherein the communication network (1) has at least one test receiver (11a), a first survey receiver (22a), a second survey receiver (22b), a final receiver (3a), a tracking server (5), a receiver database (6), a survey database (7), a rating module (121), a selection module (122) and a central server (8), and a relevance of a final message (30a) for the final receiver (3a) is ascertained before the final message (30a) is sent.