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The SEO Patent Podcast

Podcast The SEO Patent Podcast
Mark Williams-Cook
A weekly short discussion for SEOs that examines specific Google patents with discussions led by NotebookLM to make search-relevant patents easier to understand...

Available Episodes

5 of 16
  • 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.
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    11:25
  • Changing a Rank of a Document by Applying a Rank Transition Function
    This week we explore Changing a Rank of a Document by Applying a Rank Transition Function, a method for detecting and mitigating rank-modifying spam in search engine results.
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    9:56
  • Presenting Search Result Information
    Presenting Search Result Information describes a system and method for presenting search results to a user. The system uses web notebooks to organise and rank search results, incorporating snippets and allowing users to create and manage their own notebooks. This US patent application describes a system and method for presenting search results to a user. The system uses web notebooks to organise and rank search results, incorporating snippets and allowing users to create and manage their own notebooks.
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    15:30

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About The SEO Patent Podcast

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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