Web Page Data Mining Code for Real-Time Commerce Tracking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing web commerce analysis tools lack the capability to track and report commercial activity on websites, focusing primarily on technical data rather than transactional information.
Innovation Solution
Incorporating data fields and data mining code into web pages to collect and analyze commerce transaction activity, allowing for the logging and reporting of commercial data such as revenue, product sales, and categories, which is then transmitted to a second server for analysis and reporting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If prior art web server analysis programs are used to monitor web server activity, then technical data such as most popular pages and total number of visitors can be obtained, but commercial activity data such as revenue and product sales cannot be tracked
Solution Approach 1:
The patent embeds data collection functionality directly within web pages by nesting data fields and data mining code inside the HTML structure. This allows commercial activity tracking to be integrated into the existing web page framework without requiring separate external collection systems, thus capturing revenue and product sales information while maintaining system simplicity.
Solution Approach 2:
The patent introduces a service provider server as an intermediary between the web server and the analysis system. This intermediary collects commercial activity data from embedded data fields, processes it, and delivers it to authorized users, enabling commercial tracking without directly modifying the core web server infrastructure.
2Productivity
If data mining code is embedded in web pages to collect commercial information, then real-time commercial activity tracking is enabled, but the complexity of web page structure increases
Solution Approach 1:
The patent pre-structures web pages with embedded data fields during the page creation process. These fields are prepared in advance to capture specific commercial information such as product IDs, prices, and quantities. By preparing the data collection infrastructure beforehand, the system achieves efficient real-time tracking without adding operational complexity during actual transactions.
3Loss of information
If commercial data is collected and transmitted to a separate server for analysis, then comprehensive commercial reporting is achieved, but data transmission and processing time increases
Solution Approach 1:
The patent implements continuous data collection and transmission mechanisms where commercial activity information is captured and sent to the analysis server in real-time as transactions occur. This continuous process eliminates delays associated with batch processing, ensuring that commercial data is continuously updated and analyzed without interruption, thereby minimizing time loss while maintaining comprehensive information collection.
Data Source
AI summary
A method and apparatus is disclosed for tracking and reporting electronic commerce activity over a web site that is stored on a first server coupled to a wide area network. The web page is programmed to include data fields reflecting commerce transaction activity and data mining code. The web page is uploaded to a visitor computer responsive to a request over the wide area network from the visitor computer. Commerce information is accepted within the data fields of the web page at the visitor computer to form a completed web page. The data mining code is operated on the visitor computer to obtain technical and commercial data and sent to a second server on the wide area network for logging and analysis.