Adjusting Anchor Text Weights via Site Relationship Models
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Solution Overview
Problem
Existing search engine technologies fail to provide the most relevant results due to the assumption that anchor text links are independent and of equal importance, leading to issues with mirror sites and cooperative websites that manipulate rankings.
Innovation Solution
A site-relationship model is introduced to adjust anchor text weights by considering relationships between source and destination sites, as well as between multiple source sites, to determine a new weight that reflects the true relevance of anchor texts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If search engines assume all anchor text links are independent and of equal importance, then the ranking system is simple to implement, but the search result relevance deteriorates due to manipulation by mirror sites and cooperative websites
Solution Approach 1:
The patent changes the parameter of anchor text weight by introducing a site relationship model that dynamically adjusts weights based on the relationships between source and destination sites. Instead of treating all anchor texts as equal (weight=1), the system assigns different weights (e.g., 0.5 for mirror sites, 0.8 for cooperative sites, 1.0 for independent sites) based on relationship analysis, thereby improving search result relevance while maintaining reasonable system complexity
Solution Approach 2:
The patent introduces an intermediary component (the site relationship model) that mediates between the raw anchor text links and the final ranking calculation. This intermediary analyzes the relationships between websites and adjusts anchor text weights accordingly, preventing direct manipulation while preserving legitimate link value. The model acts as a buffer that filters out manipulative links from mirror sites and cooperative websites
2Ease of manufacture
If search engines count the number of incoming links to rank documents, then the implementation is straightforward, but the accuracy of ranking deteriorates due to gaming by web developers
Solution Approach 1:
The patent transforms the simple link count parameter into a weighted link score parameter. Instead of merely counting incoming links, the system calculates a weighted sum where each link's contribution is modified by the relationship between source and destination sites. This parameter change maintains ease of implementation (still a summation operation) while dramatically improving ranking accuracy by discounting manipulative links
3Use of energy by moving object
If search engines treat each anchor text link as independent, then the calculation is computationally efficient, but the quality of search results worsens due to coordinated manipulation from multiple source sites
Solution Approach 1:
The patent segments the anchor text evaluation process into two distinct phases: (1) relationship analysis phase, where the system pre-analyzes and caches the relationships between websites, and (2) ranking calculation phase, where the pre-computed relationship data is applied to adjust anchor text weights. This segmentation allows the system to maintain computational efficiency by avoiding repeated relationship analysis for each query, while still achieving improved search result quality through relationship-aware weighting
Data Source
AI summary
This document describes tools for adjusting anchor text weight to provide more relevant search engine results. Specifically, these tools take advantage of a site-relationship model to consider relationships not only between an anchor text source site and a destination page but also relationships between multiple anchor text source sites to improve web searches. Consideration of these relationships aids in determining a new an anchor text weight, which in turn results in more relevant search results.