URL Navigation Page Generation via Composite Scoring and Category Segmentation
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Solution Overview
Problem
Existing URL navigation systems fail to accurately and comprehensively display users' most frequently visited websites, often overlooking less frequently visited categories and websites visited only once or a few times, due to reliance on visit frequency calculations and limited category representation.
Innovation Solution
A method and device for generating a URL navigation page that involves obtaining and categorizing users' browsing records, counting visit frequencies, ranking URLs and categories, and strategically displaying the top-ranked URLs and categories in specified positions, while also considering visit methods and adjusting for blacklist and merged URLs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the browser calculates the most frequently visited URLs based on the number of times of visiting and weight accumulation, then URLs visited multiple times can be identified, but URLs visited only once or several times (such as news home page, stock home page, community BBS) cannot appear in the top of the list and cannot be seen by the user
Solution Approach 1:
The patent changes the evaluation parameter from simple visit count to a composite score system that incorporates multiple factors: visit frequency, visit method weight, time recency, and category importance. This allows URLs visited only once or a few times to be identified as frequently visited if they meet the threshold in the composite scoring system, thereby resolving the contradiction between accuracy and information loss.
Solution Approach 2:
The patent creates a composite evaluation index by combining multiple parameters (visit count, visit method, time factor, category weight) into a single comprehensive scoring system. This composite approach enables the system to accurately identify frequently visited URLs even when individual parameters show low values, thus preventing information loss of occasionally visited but important URLs.
2Ease of operation
If the list of most frequently visited web sites shows only nine web sites, then the navigation page is compact, but after ranking the URLs to show them, it is possible that two categories of web sites have occupied all positions in the list, so the user cannot visit other categories of web sites in the list
Solution Approach 1:
The patent segments the navigation list into category-based groups rather than a single flat ranking. URLs are first categorized, then ranked within each category, and finally presented as multiple organized groups. This segmentation allows the navigation page to maintain compactness while ensuring diverse category representation, as each category gets its own designated space in the navigation interface.
Solution Approach 2:
The patent introduces a categorical dimension to the navigation organization. Instead of a one-dimensional flat list ranked solely by frequency, the system creates a two-dimensional structure where URLs are organized by category first, then ranked within categories. This dimensional change enables both compact presentation and diverse category coverage simultaneously.
3Productivity
If the browser uses simple visit count calculation to determine frequently visited URLs, then the calculation is simple and fast, but it cannot objectively display all frequently used URLs and may miss important URLs visited less frequently
Solution Approach 1:
The patent transforms the single-parameter calculation (visit count) into a multi-parameter composite scoring system that includes visit frequency, visit method weight, time recency, and category importance. While this increases calculation complexity, the patent optimizes the computation by pre-calculating weights and using efficient scoring algorithms, thereby maintaining acceptable productivity while dramatically improving measurement precision and objectivity.
Solution Approach 2:
The patent creates a composite evaluation metric that combines multiple parameters into a unified scoring system. This composite approach allows the system to objectively identify frequently visited URLs by considering multiple dimensions of usage patterns, preventing the omission of important URLs that might be visited less frequently but are still significant to the user.
Data Source
AI summary
The present invention discloses a method, device and program for generating a URL navigation page, and it relates to the field of network technologies. Based on a list of merged URLs, the present invention ranks the URLs visited by the user by a calculation method that uses the visit frequency as a standard to obtain the URLs most frequently visited by the user, then it puts the web sites represented by the top several URLs into specified positions to be displayed; the present invention also categories the URLs visited by the user according to a URL categorization rule, and then counts the frequency of visit to each category, and then designates corresponding display positions to the top categories in the rank according to the rank of the visit frequency, so that they can be displayed. By means of the present invention, the multiple categories of web sites most frequently visited by the user can be provided to the user in a more objective, more accurate and more comprehensive manner.


