User Traffic Weighted Search Ranking
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Solution Overview
Problem
Current search engines struggle to effectively rank web pages based on user relevance due to their reliance on hyperlink references, which can be artificially inflated by web designers, rather than actual user traffic patterns.
Innovation Solution
A method and apparatus for providing user traffic weighted search results by prioritizing search results based on collected user usage data from opted-in users or content providers, using a system that includes an information resource network, a search engine, a usage data repository, and a usage analysis module to monitor and analyze network traffic data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If search engines use hyperlink reference counting to rank web pages, then the ranking process is simple and scalable, but the results do not reflect actual user relevance and can be artificially manipulated
Solution Approach 1:
The patent replaces the mechanical hyperlink counting system with a traffic monitoring and analysis system that measures actual user behavior. Instead of counting static hyperlinks, the system dynamically tracks user navigation patterns, click-through rates, and time spent on pages to determine relevance rankings.
Solution Approach 2:
The system implements feedback loops where user interaction data is continuously collected, analyzed, and used to update rankings. The monitoring module tracks user behavior in real-time and feeds this information back to the ranking algorithm, allowing the system to adapt and improve relevance measurement over time.
2Quantity of substance
If search engines return all matching results, then completeness is maximized, but users cannot process the large volume of results effectively
Solution Approach 1:
The patent segments the large set of search results into prioritized groups based on traffic analysis. Results are divided into high-priority, medium-priority, and low-priority categories, allowing users to focus on the most relevant information first while maintaining access to the complete result set if needed.
Solution Approach 2:
The system performs partial ranking by focusing computational resources on identifying and prioritizing the most relevant results rather than attempting to rank all results equally. This allows the system to process and present the most valuable information quickly while maintaining the option to expand results if users need more comprehensive coverage.
3Ease of operation
If web page designers can influence page importance through hyperlink placement, then web site optimization is easier, but the ranking system becomes vulnerable to manipulation and does not reflect true user relevance
Solution Approach 1:
The patent replaces the manipulable hyperlink-based system with a traffic monitoring system that measures actual user behavior. Since users naturally navigate to valuable content regardless of designer intent, this substitution makes the system resistant to manipulation while maintaining ease of optimization through natural user behavior patterns.
Solution Approach 2:
The system allows user behavior to self-determine page importance rather than relying on designer declarations through hyperlinks. The monitoring module passively observes and records actual user navigation patterns, allowing the content itself to prove its value through usage statistics rather than designer assertions.
Data Source
AI summary
A method and apparatus for providing a user traffic weighted search in a network are disclosed. For example, the method receives a query from a customer and determines whether the customer has opted-in for a service for traffic data monitoring. The method then provides one or more search results to the customer in response to the query, where the one or more search results are prioritized in accordance with collected user usage data if the customer has opted-in for the service for traffic data monitoring.