Adaptive Browser Extension Field Detection and Auto-Population
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Solution Overview
Problem
Conventional browser extension applications struggle to accurately identify and populate fields in web pages due to the diversity of web pages, changes, additions, and removals, leading to inefficient communications and processor utilization.
Innovation Solution
A browser extension system that iteratively interacts with a server to generate and update regular expressions for detecting and populating fields, including unrecognized fields, through a browser extension application and server communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional browser extension applications use fixed field detection methods, then initial field identification may work for standard web pages, but the system becomes unreliable when web pages are updated, changed, or use diverse formats
Solution Approach 1:
The patent implements dynamic field detection by continuously monitoring and adapting to web page changes. The system updates field identifiers, data patterns, and validation rules in real-time based on observed web page structures, transforming the static detection mechanism into a dynamic one that evolves with web page updates and maintains reliability across diverse formats
Solution Approach 2:
The system incorporates feedback loops where detection results are analyzed and used to refine future detection patterns. When fields are successfully identified or when errors occur, the system learns from these outcomes and adjusts its detection algorithms, creating a self-improving mechanism that enhances reliability through continuous feedback from actual web page interactions
2Measurement precision
If browser extension applications manually correct incorrectly identified fields, then field population accuracy may be improved, but communication efficiency and processor utilization deteriorate due to repeated corrections
Solution Approach 1:
The system performs preliminary field identification and validation before actual data population occurs. By pre-validating field formats, checking data patterns in advance, and confirming field readiness, the system prevents incorrect population from happening in the first place, thereby maintaining high accuracy without requiring subsequent corrective actions that would waste communication and processing resources
3Speed
If browser extension applications use simple field detection methods, then processing speed may be maintained, but measurement precision of field identification deteriorates due to web page diversity
Solution Approach 1:
The field detection process is segmented into multiple specialized stages: initial rapid scanning for obvious fields, intermediate validation checks for ambiguous cases, and detailed pattern matching for complex fields. This segmentation allows the system to maintain high speed for straightforward detections while applying more precise but computationally intensive methods only when necessary, thus balancing speed and accuracy across diverse web page formats
Data Source
AI summary
Methods and systems for a browser extension application are disclosed. In some embodiments, a browser extension application is configured to receive from a browser extension server a regular expression configured to detect a plurality of fields in a web page and execute the regular expression to detect a transaction field in the web page and automatically populate the transaction field with stored data. The application is further configured to detect an unrecognized field in the web page, provide suggested transaction data, and detecting manual population of the unrecognized field with the suggested transaction data. The application is further configured to providing to the browser extension server an indication of the unrecognized field and receive from the browser extension server an updated regular expression configured to detect the unrecognized field in the web page.