A weekly short discussion for SEOs that examines specific Google patents with discussions led by NotebookLM to make search-relevant patents easier to understand...
Using Concepts as Contexts for Query Term Substitutions
This patent specification details a system for enhancing search queries by using concepts, which are groups of words with a unified meaning, as contextual clues for suggesting better search terms. The system identifies these concepts within a user's query and then analyses historical search data to find common substitutions for other terms appearing alongside these concepts. By understanding the context provided by a concept like "New York Times", the search engine can more accurately suggest replacing "Puzzle" with "Crossword" compared to a general substitution. This approach allows for more nuanced and relevant query revisions by considering multi-word contexts without excessive computational load, ultimately aiming to improve search result quality.
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10:02
Method For Node Ranking in a Linked Database (PageRank)
This patent application details a method for ranking nodes within a linked database, such as the World Wide Web. The described PageRank algorithm assigns importance scores to documents based on the quantity and quality of links pointing to them, essentially a recursive system where a link from a highly-ranked page carries more weight.
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15:44
Document Scoring Based on Document Inception Date
Today we will explore the Document Scoring Based on Document Inception Date patent, a system that calculates a document score partly based on its age and the rate at which links to it are created.
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13:38
Clustering of Search Results
The patent Clustering of Search Results escribes a system and method for clustering search results to improve their quality.
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12:41
Multi Source Extraction and Scoring of Short Query Answers
The Multi Source Extraction and Scoring of Short Query Answers patent dentifies a candidate passage within the search results and evaluates its accuracy using context passages from other sources. An accuracy score prediction engine is used to determine whether the candidate passage is likely to provide an accurate answer.
A weekly short discussion for SEOs that examines specific Google patents with discussions led by NotebookLM to make search-relevant patents easier to understand.
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