Web Circuit Simulation for Spam-Resistant Page Ranking
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Solution Overview
Problem
Existing web search algorithms are susceptible to link spam and penalize large web domains with interlinked websites, failing to accurately rank websites with great content and weighted inbound links, and do not encourage webmasters to maintain their websites and remove spam links.
Innovation Solution
A method for ranking websites using a circuit simulation model where each website is represented as a node in a web circuit, with energy sources and diode-like devices modeling hyperlink connections, allowing current flow based on content score, inbound links, and voltage levels to simulate potential and rank websites effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional link-based ranking algorithms (PageRank, ExpertRank) are used, then websites can be ranked according to hyperlink connections, but the system becomes susceptible to link spam and cannot accurately identify websites with great content
Solution Approach 1:
The patent transforms the web ranking problem into an electrical circuit simulation problem by changing the parameters from hyperlink counts to electrical properties (current, voltage, resistance). Each website becomes a node with electrical characteristics where current flow represents information flow, and resistance values are dynamically adjusted based on content quality metrics rather than just link structure. This parameter transformation makes the system resistant to link spam because electrical circuit laws (Kirchhoff's laws) naturally prevent artificial inflation of rankings through fake connections.
Solution Approach 2:
The patent replaces the mechanical/link-based ranking system with an electrical circuit-based system. Instead of counting hyperlinks and solving eigenvalue problems mechanically, the system uses electrical analogies where websites are nodes, hyperlinks are conductive paths, and content quality is represented by electrical resistance. This substitution allows the use of well-established electrical circuit simulation techniques to solve the ranking problem more reliably and efficiently.
2Measurement precision
If existing algorithms focus on identifying authoritative pages through inbound links, then websites with many links are ranked highly, but large web domains with extensive interlinked websites are penalized
Solution Approach 1:
The patent applies local quality by assigning different electrical resistance values to different parts of the web circuit based on local content characteristics. Each website node has its own resistance value determined by its content quality, and each hyperlink path has its own conductance properties. This allows the system to evaluate each website locally based on its content rather than penalizing entire domains, enabling large web domains with many interlinked sites to be fairly assessed based on the quality of individual pages rather than their domain size.
3Quantity of substance
If web search needs to handle billions of websites, then comprehensive coverage is achieved, but search efficiency and processing speed decrease
Solution Approach 1:
The patent segments the massive web circuit into smaller, manageable sub-circuits that can be simulated independently and in parallel. Instead of simulating the entire web at once, the system divides it into domain-based or topic-based segments, each with its own electrical circuit model. This segmentation allows for parallel processing of multiple segments simultaneously, dramatically improving processing speed while maintaining comprehensive coverage of billions of websites.
Data Source
AI summary
In one embodiment, a method for ranking webpages is provided. The method includes generating a web circuit model having a node representing each webpage. The model is simulated to identify the potential at each node. The webpages can then be ranked according to the potentials of the nodes to which the webpages correspond.