Automatic Mailbox Configuration Learning via Validator and Learner Modules
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Solution Overview
Problem
Users face difficulties in accessing multiple email accounts across various devices and services due to the need for manual configuration of complex parameters like mail host, port, login name, and password, especially when these parameters vary significantly between different email providers, making it challenging to determine the correct settings without explicit information.
Innovation Solution
A system and method that automatically learns mailbox configuration conventions using a validator module and a learner module, which determines valid configuration parameters based on limited user input, such as an email address and password, and stores these conventions in a database for subsequent access, employing symbolic expressions and rules to guess or determine the correct settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users manually configure mailbox parameters, then access reliability is improved, but ease of operation deteriorates
Solution Approach 1:
The system automatically determines mailbox configuration parameters by analyzing the email address format and applying learned conventions, eliminating the need for users to manually configure settings. The validator module self-tests generated configurations to ensure reliability, achieving both ease of operation and access reliability.
Solution Approach 2:
The patent replaces manual mechanical configuration processes with an automated computational system that uses pattern recognition and validation algorithms to determine configuration parameters, substituting user manual input with intelligent automated determination.
2Ease of operation
If the system automatically determines configuration parameters, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The validator module provides feedback by testing generated configuration parameters against the actual mailbox to verify correctness. This feedback loop ensures that automated parameter determination achieves high precision by confirming validity through actual access attempts or validation responses from the mailbox system.
Solution Approach 2:
The system performs preliminary validation by testing configuration parameters before final use, ensuring accuracy is established in advance. The learner module also performs preliminary learning from validation results to improve future automated determinations.
3Adaptability or versatility
If multiple configuration conventions are learned, then adaptability is improved, but device complexity deteriorates
Solution Approach 1:
The patent segments the configuration determination process into distinct functional modules: a learner module that acquires conventions, a validator module that tests configurations, and a generator that creates parameter sets. This segmentation manages complexity by dividing the adaptive system into manageable, independent components.
Solution Approach 2:
The validator module acts as an intermediary between the configuration generator and the mailbox access, providing a validation layer that ensures generated configurations are correct. This intermediary simplifies the overall system by centralizing validation logic and providing feedback for continuous improvement.
Data Source
AI summary
A system and method automatically learns mailbox configuration conventions. The validator module determines a valid set of configuration parameters used for accessing an electronic mailbox of a user within a mail domain after receiving configuration information from the user that is limited in the configuration parameters required for accessing the electronic mailbox. A learner module accepts from the validator module a set of configuration parameters determined to be valid and generates configuration conventions for a mail domain. A database store is the generated configuration conventions. The validator and learner modules can be operative as part of a web server.