Web Activity Data Processing System for Trend Analysis
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Solution Overview
Problem
Current methods fail to effectively analyze and utilize Web activity data to understand user desires and trends across multiple Websites, limiting businesses' ability to position themselves optimally in the online marketplace.
Innovation Solution
A system that collects and processes raw electronic data from multiple Websites, using classifiers to extract and analyze query URLs, identify search terms, and generate statistical data to monitor trends and competitor activity, enabling personalized Website optimization and improved keyword bidding strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If web activity data is collected and processed to extract search terms and generate statistical data, then understanding of user desires and trends improves, but system complexity increases
Solution Approach 1:
The patent segments the web activity data processing into distinct components: collecting raw electronic data, extracting query URLs, identifying search terms, and generating statistical data. This segmentation allows each processing stage to be handled independently, reducing overall system complexity while maintaining comprehensive analysis capabilities.
Solution Approach 2:
The patent introduces an intermediary processing layer that sits between raw web activity data and business insights. This layer includes automated extraction and analysis components that transform unstructured data into structured statistical information, reducing the complexity burden on both data collection and decision-making systems.
2Productivity
If automated data extraction and analysis is implemented across multiple Websites, then productivity in generating market insights improves, but device complexity increases
Solution Approach 1:
The patent implements preliminary action by pre-processing web activity data to extract query URLs and identify search terms before generating statistical analyses. This preliminary extraction creates ready-to-analyze structured data, significantly improving the speed of generating market insights while containing system complexity in the initial processing stage.
Solution Approach 2:
The patent replaces manual analysis methods with automated electronic data processing systems. Automated algorithms extract search terms and generate statistical data from web activity logs, dramatically increasing productivity in generating market insights compared to manual analysis while managing complexity through standardized processing procedures.
Data Source
AI summary
The present disclosure provides a computer-implemented method of processing Web activity data. The method includes obtaining a collection of Web activity data generated by a plurality of users at a plurality of Webpages, wherein the Webpages are from a plurality of unaffiliated Websites. The method also includes extracting a plurality of search terms from the Web activity data and associating each of the plurality of search terms with a corresponding Webpage. The method also includes generating statistical data from the Web activity data based, at least in part, on the search terms, the statistical data corresponding to the online activity at one or more Webpages.