Information Categorization System for Targeted Content Delivery

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Solution Overview

Problem

Modern electronic communication systems face inefficiencies in targeting relevant information due to the lack of accurate recipient interest assessment, leading to unnecessary information distribution, infrastructure burden, and privacy concerns, as existing filtration systems like SPAM filters cannot differentiate between interested and uninterested recipients based on content.

Innovation Solution

An information categorization system that harvests recipient content, generates profiles based on interests, compares content profiles with recipient profiles, and filters information accordingly, allowing targeted delivery of relevant content while providing feedback mechanisms to refine profiles and improve relevance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If distribution lists are padded with recipients to increase the number of potentially interested recipients, then the quantity of recipients increases, but the quality of information distribution deteriorates because many recipients are not actually interested

Engineering Contradiction:

Improvenumber of recipientsVSAvoidaccuracy of recipient interest matching

Core Design Contradiction:

Quantity of substanceVSReliability

Solution Approach 1:

The system implements feedback loops where recipient actions (reading, forwarding, deleting) are monitored and fed back to update the recipient profile. This allows the system to learn from actual recipient behavior and improve the accuracy of interest matching over time, resolving the contradiction between list size and accuracy.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system allows recipients to self-serve by providing feedback on their interest levels and preferences. Recipients can indicate which information they find useful or not, enabling the system to automatically refine distribution lists without manual intervention, thus maintaining accuracy while managing large recipient quantities.

Inventive Principle:

Principle #25Self-service

2Productivity

If information is distributed to a large number of recipients using a shot-gun approach, then the coverage increases, but the loss of time and resources increases due to processing and reviewing unnecessary information

Engineering Contradiction:

Improveinformation distribution coverageVSAvoidtime spent reviewing information

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system performs preliminary actions by generating recipient profiles in advance and using these profiles to pre-filter information before distribution. This preliminary profiling and filtering ensures that only relevant information is sent to each recipient, eliminating the need for recipients to review unnecessary content and reducing time loss while maintaining broad coverage.

Inventive Principle:

Principle #10Preliminary action

3Ease of operation

If conventional SPAM filters are used to filter information, then the filtration capability is provided, but the precision is insufficient because they cannot differentiate between interested and uninterested recipients based on content

Engineering Contradiction:

Improvefiltration capabilityVSAvoidaccuracy of recipient interest assessment

Core Design Contradiction:

Ease of operationVSMeasurement precision

Solution Approach 1:

The system changes the parameters used for filtration from simple sender-based or keyword-based filtering to complex multi-dimensional recipient profile parameters. These profiles incorporate recipient behavior patterns, content preferences, and engagement history, enabling precise differentiation between interested and uninterested recipients while maintaining ease of automated operation.

Inventive Principle:

Principle #35Parameter changes

4Ease of manufacture

If distribution list compilers have no motivation to provide quality control, then the ease of manufacture is maintained, but the reliability of the distribution list deteriorates

Engineering Contradiction:

Improvedistribution list compilationVSAvoidquality of distribution list

Core Design Contradiction:

Ease of manufactureVSReliability

Solution Approach 1:

The system implements automated feedback mechanisms that continuously monitor distribution effectiveness and provide quality control metrics to compilers. This feedback loop creates motivation for quality control by showing compilers the actual impact of their list quality on distribution effectiveness, thereby improving reliability while maintaining automated compilation processes.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS8990106B2Information categorisation systems, modules, and methods

Publication Date: 2015.03.24 REALWIRE

AI summary

An information categorization system comprising: a potential recipient output harvesting module configured to harvest information content generated by a potential recipient; a potential recipient profile generation module configured to generate a recipient profile representing one or more likely interests of the potential recipient; a comparison module adapted to receive an information content profile representative of content of information content to be categorized and, in response to receipt of the information content profile, to compare the information content profile with the recipient profile to determine a match indicating the potential recipient is likely to be interested in the information content; and an information categorization module configured to categorize the information content into information content for which the comparison module has either determined or failed to determine a match between the information content profile and the recipient profile.