Browser Visit Coefficient Calculation for Redirect Accuracy
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Solution Overview
Problem
Existing methods for calculating the most frequently visited web pages by a browser only consider newly opened tab pages and do not account for visits resulting from redirects, leading to inaccurate and incomplete statistical analysis.
Innovation Solution
A method that increments visit counts for both direct and redirect visits, using a first and second cumulative number system, and calculates a visit coefficient by combining preset weights for each visiting mode to determine the most frequently visited page, including visits through links from already loaded web pages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the existing statistical method is used that only tracks newly opened tab pages, then the implementation is simple, but the statistical accuracy is insufficient because redirect visits are not included
Solution Approach 1:
The patent segments the visit tracking into two distinct parts: direct visits (first cumulative number) and redirect visits (second cumulative number). Each type of visit is tracked separately with its own counting mechanism, allowing the system to capture both direct navigation and link-clicking behaviors independently before combining them for comprehensive statistics.
Solution Approach 2:
The patent adds a new dimension to the statistical system by introducing a second cumulative number for redirect visits, which complements the existing first cumulative number for direct visits. This multi-dimensional approach transforms the single-dimension tracking into a two-dimension system that captures different visit pathways.
2Adaptability or versatility
If redirect visits are included in the statistics calculation, then the comprehensiveness of statistical analysis is improved, but the complexity of the counting system increases due to multiple cumulative numbers and weights
Solution Approach 1:
The patent creates a universal statistical framework that handles multiple visit types through a unified calculation model. The visit coefficient formula serves as a multi-functional mechanism that processes both direct and redirect visits, applying appropriate weights to each type to produce a comprehensive ranking that reflects overall user behavior patterns.
Solution Approach 2:
The patent merges the first cumulative number (direct visits) and second cumulative number (redirect visits) into a unified visit coefficient calculation. By combining these separate counts with appropriate weighting, the system produces an integrated statistical measure that reflects total visit frequency across different visit pathways.
3Measurement precision
If multiple cumulative numbers with different weights are used to calculate visit coefficients, then the accuracy of determining most frequently visited pages is improved, but the computational complexity increases
Solution Approach 1:
The patent changes the parameter representation from simple visit counts to weighted visit coefficients. By transforming the raw cumulative numbers into coefficient values that incorporate predefined weights for different visit types, the system achieves more accurate frequency measurement while maintaining computational efficiency through a straightforward linear combination formula.
Data Source
AI summary
A method and apparatus for rendering statistics on web page visits by a browser are disclosed. The method including: adding a respective first and second counts to a respective first and second cumulative number of visits to a first web page upon detecting that a browser has visited the first web page via a respective first and second visiting modes. The second visiting mode including redirecting to the first web page through selecting a web page link of a pending web page in the browser; acquiring the first and the second cumulative number of visits for each web page, and combining a first and a second preset weight of the first and the second visiting modes to calculate a visit coefficient for the web page; and determining a most frequent visited web page from among all the web pages based on a web page with the highest calculated visit coefficient.