Browser Navigation Scoring via Decay Algorithm

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Solution Overview

Problem

Existing Web browser paradigms require explicit user input and management to remain relevant, which can discourage sustained use and lead to labor-intensive navigation.

Innovation Solution

Employing a decay algorithm to score URLs based on visit frequency and recency, combined with recognizing imminent user intent within the browser, to provide an automated and personalized navigation solution that facilitates scan-ability and relevance in the user interface.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If explicit user input and ongoing management are required for navigation features to remain relevant, then the features can function with basic navigation support, but user effort and labor-intensive navigation activities increase

Engineering Contradiction:

Improvenavigation effortVSAvoiduser management overhead

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The system automatically monitors browsing events, analyzes browsing patterns, and updates navigation suggestions without requiring user intervention. The navigation feature serves itself by continuously learning from user behavior and autonomously maintaining relevance, eliminating the need for explicit user input and management.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system implements a feedback loop by tracking browsing events (page loads, searches, clicks), analyzing browsing patterns over time, and using this information to dynamically update navigation suggestions. This continuous feedback mechanism ensures the navigation features remain relevant and adaptive to changing user preferences without manual intervention.

Inventive Principle:

Principle #23Feedback

2Productivity

If automated navigation solutions are implemented to reduce user effort, then navigation efficiency improves, but the system complexity and algorithms required increase

Engineering Contradiction:

Improvenavigation efficiencyVSAvoidsystem automation complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The automated navigation system is divided into distinct functional modules: event monitoring component that captures browsing events, pattern analysis component that processes browsing history and identifies preferences, and suggestion generation component that creates navigation recommendations. This segmentation allows each module to perform a specific function independently, managing overall system complexity while maintaining high navigation efficiency.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system performs preliminary analysis of browsing patterns in the background continuously, preparing navigation suggestions before the user needs them. By pre-processing browsing data and maintaining an updated model of user preferences, the system can provide immediate navigation recommendations without requiring complex real-time computation when the user actually needs navigation assistance.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS8893042B2Determination and display of relevant websites

Publication Date: 2014.11.18 MICROSOFT TECHNOLOGY LICENSING LLC

AI summary

Various embodiments utilize certain events that occur within a Web browser to recognize an imminent intent, on the part of the user, to navigate to a website. Given such events, in combination with a user's past browsing patterns and history, an automated and personalized navigation solution can be provided to expedite navigation.