Book Content Search Ranking via Implicit Graph Links
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Solution Overview
Problem
Book content items in search engines often lack optimal ranking due to the absence of explicit links, making it difficult to determine their relative importance and order search results effectively.
Innovation Solution
A method that identifies implicit links between book content items based on matching uncommon phrases and similar image features, representing them as a weighted graph to calculate a rank score for each item, allowing for link-based authority ranking regardless of explicit links.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If book content items are searched using traditional search engines, then search results can be retrieved, but the ranking of search results is not optimal due to lack of explicit links between book content items
Solution Approach 1:
The patent introduces an intermediary mechanism that infers implicit links between book content items based on shared metadata attributes (author, publisher, subject category, publication year). This intermediary layer of inference restores link-based authority information that would otherwise be lost, enabling accurate ranking without direct explicit links between items.
Solution Approach 2:
The patent segments the book content items into distinct entities with identifiable metadata attributes, allowing the system to analyze relationships between segments based on shared characteristics. This segmentation enables the construction of a graph structure where implicit links can be systematically identified and utilized for ranking.
2Ease of operation
If explicit links are used to determine importance of content items, then ranking can be straightforward, but book content items typically lack such explicit links
Solution Approach 1:
The patent enables book content items to self-identify their relationships through shared metadata attributes. Each item automatically contributes to link formation based on its inherent properties (author, publisher, category), eliminating the need for manual link creation or complex external linking mechanisms.
Solution Approach 2:
The patent transforms the ranking approach by changing from counting explicit link quantities to analyzing metadata attribute overlaps. This parameter transformation allows the system to work with the limited data typically available for book content items while maintaining effective ranking capability.
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 can be image features that appear in image content of the distinct book content items. Edges representing implicit links are generated between distinct nodes representing the distinct book content items in the weighted graph. Each distinct book content item can be ranked based on the edges connected to the distinct node in the weighted graph that represents the distinct book content item.