Network Filtering Based on Consumer Device Rules
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Solution Overview
Problem
Users face increased wait times and annoyance due to downloading large amounts of undesirable information, such as advertisements and irrelevant content, while accessing web pages, which consumes bandwidth and is distracting.
Innovation Solution
Implementing a data network filtering system that uses user-defined or estimated filter rules to selectively modify and filter information based on content type, repetition, and user preferences, replacing unwanted content with markers that allow users to download desired content efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If information is downloaded without filtering, then complete information content is received, but bandwidth utilization increases and wait time increases
Solution Approach 1:
The patent applies preliminary action by filtering information content before it is transmitted to the consumer processing device. The system pre-identifies and removes undesirable content (advertisements, irrelevant information) from the information stream prior to delivery, thereby reducing both the transmission time and bandwidth consumption associated with downloading unwanted data.
Solution Approach 2:
The patent extracts and removes undesirable information content from the overall information stream. The filtering system identifies and extracts advertisements, irrelevant content, and other unwanted elements, separating them from the desired information content before transmission to the user's device.
2Productivity
If advertisements and irrelevant content are included, then information sources can capture user attention, but user annoyance increases and desirable information access is delayed
Solution Approach 1:
The patent converts the harmful effect of advertisements and irrelevant content into a benefit by using filtering technology to identify and remove these elements. The system transforms the potential harm of unwanted content into the benefit of improved information access efficiency and reduced user annoyance, while still allowing access to desired information.
3Measurement precision
If filter rules are manually defined by users, then filtering accuracy improves, but system complexity increases
Solution Approach 1:
The patent implements feedback mechanisms where the system monitors user interactions with filtered content and automatically adjusts filter rules based on this feedback. The system learns from user behavior patterns, such as which content is frequently accessed or ignored, and dynamically modifies filtering parameters to improve accuracy without requiring manual user configuration.
Solution Approach 2:
The filtering system performs self-service by automatically generating and adjusting filter rules based on monitored user metrics and behavior patterns. The system autonomously identifies user preferences and configures filtering parameters without requiring manual intervention, thereby maintaining high filtering accuracy while minimizing system complexity.
Data Source
AI summary
Information that is being communicated from information sources, such as servers, through a data network to consumer processing devices is filtered by the data network. Filter rules are associated with the consumer processing devices. Information is received at the data network from at least one of the information sources that is addressed to one of the consumer processing devices. The information is filtered at the data network based on the filter rules associated with the addressed consumer processing device to generate filtered information. The filtered information is then communicated from the data network to the addressed consumer processing device.