Book Content Search Ranking via Implicit Graph Links
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Solution Overview
Problem
Existing search engines struggle to optimally rank book content items due to the lack of explicit links between them, which hinders the generation of effective search results.
Innovation Solution
A method that segments textual content into word strings, identifies uncommon phrases, and represents book content items as a graph to determine implicit links based on matching phrases and similar images, allowing for a link-based authority ranking process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If book content items are searched using traditional link-based ranking methods, then search results can be generated, but the ranking accuracy deteriorates due to the lack of explicit links between book content items
Solution Approach 1:
The patent segments textual content into word strings (n-grams) and identifies uncommon word strings that serve as unique identifiers. This segmentation allows the system to create implicit links between book content items based on shared uncommon phrases, resolving the contradiction by transforming the absence of explicit links into a structured representation that enables accurate ranking.
Solution Approach 2:
The patent introduces uncommon word strings as intermediary elements that mediate between book content items. These uncommon phrases act as implicit links, allowing the system to establish relationships between books without requiring traditional hypertext links, thereby maintaining ranking accuracy despite the lack of explicit links.
2Productivity
If traditional search ranking methods are used for book content items, then processing is simpler, but search result optimization deteriorates due to inability to capture implicit relationships
Solution Approach 1:
The patent performs preliminary processing by segmenting text into word strings and identifying uncommon word strings before the actual search operation. This advance preparation creates a structured representation of book content items with implicit links already established, enabling optimized search results without adding complexity to the actual search process.
Solution Approach 2:
The patent replaces the mechanical link-based system with a semantic-based system using uncommon word strings. Instead of relying on explicit hypertext links (mechanical structure), the system uses semantic relationships captured through uncommon phrase matching, thereby improving search result optimization while managing processing complexity through efficient algorithms.
Data Source
AI summary
Methods, systems, and apparatus, including computer program products are provided for ranking distinct book content items based on implicit links to other distinct book content items. The implicit links are defined based on the identification of matching features in the distinct book content items. In some implementations, the matching features are uncommon phrases in textual content of the distinct book content items. Edges representing implicit links are generated between distinct nodes representing distinct book content items in a weighted graph. Search results for distinct book content items can be ordered based on the edges connected to the distinct nodes in the weighted graph that represent the distinct book content items.