Web Service Insights Dashboard for Performance Optimization
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Solution Overview
Problem
Web service providers face challenges in accessing and analyzing vast amounts of data to improve web site performance, including disjointed data stores, difficulty in combining structured and unstructured data, and the need for timely identification of anomalies and opportunities, which hinders quick reactions to changes in web site traffic and user behavior.
Innovation Solution
A system and process for providing insights to web service providers that monitors user activities, generates dashboards for performance improvement, and uses co-visit analysis techniques to identify opportunities and track the impact of modifications, along with translating natural language queries into structured queries to combine data from structured and unstructured sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If web service providers manually access and analyze vast amounts of data from disjointed data stores, then they can identify performance improvements, but the process is time-consuming and hinders quick reactions to changes in web site traffic and user behavior
Solution Approach 1:
The system automatically monitors user activities, combines data from structured and unstructured sources, and generates performance insights without requiring manual data access or analysis by web service providers, enabling the system to serve itself and eliminate time-consuming manual processes
Solution Approach 2:
The patent replaces manual mechanical data analysis processes with automated computational systems that use co-visit analysis techniques and natural language query translation to efficiently process and analyze vast amounts of data from disjointed data stores, significantly reducing analysis time
2Adaptability or versatility
If web service providers use traditional methods to combine structured and unstructured data, then they can analyze user behavior, but the process is complex and difficult to implement
Solution Approach 1:
The system introduces an intermediary natural language query translation layer that simplifies the complex process of combining structured and unstructured data. Users can query the integrated data using natural language instead of complex technical queries, making the system easier to use while maintaining high adaptability in data integration
Solution Approach 2:
The patent creates a universal data integration framework that handles both structured and unstructured data through a single cohesive system. The co-visit analysis technique serves multiple functions including data combination, user behavior analysis, and performance insight generation, reducing overall system complexity
3Productivity
If web service providers implement comprehensive data monitoring and analysis systems, then they can identify performance improvements, but the system complexity and difficulty in accessing disjointed data stores increase
Solution Approach 1:
The system merges access to disjointed data stores through a unified interface that combines structured and unstructured data sources. By integrating data access and analysis functions into a single system, it improves productivity in identifying performance improvements while reducing the complexity of accessing multiple separate data stores
Data Source
AI summary
Techniques for providing insights for web service providers are disclosed. In some embodiments, a system, process, and/or computer program product for providing insights for web service providers includes monitoring user activities on a web site; generating a dashboard for displaying a summary of the monitored user activities on the web site; and generating a recommendation for improving performance of the web site for display on the dashboard. For example, the recommendation can be for improving performance of search results on the web site and/or for improving content navigation on the web site.