The SEO Patent Podcast

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

  1. 27.10.2025

    BlockRank: Scalable In-context Ranking with Generative Models

    A novel and efficient method for In-Context Ranking (ICR) using large language models (LLMs) for Information Retrieval (IR). The core problem addressed is the computational cost of standard LLMs for ranking many candidate documents, which scales quadratically with context length due to the attention mechanism. BlockRank solves this by first analyzing LLM attention patterns, revealing inherent inter-document block sparsity and query-document block relevance signals within middle layers

    14 Min.

  2. 30.05.2025

    Query Response Using A Custom Corpus

    This patent details a system for a large language model (LLM) to respond to user queries by leveraging a custom corpus of documents. The system receives a user query, selects one or more external applications and retrieves relevant documents from the custom corpus based on the query and potentially a context vector or precomputed embeddings. The LLM then generates a response to the user query, conditioned on the retrieved documents, which is subsequently displayed to the user on their client device. Flowcharts and diagrams illustrate the process, including interactions between the client device, the natural language response system, and external applications accessing document embeddings and the custom corpus.

    11 Min.

  3. 09.05.2025

    Media Consumption History

    This patent descibes a system and methods for identifying and presenting knowledge elements related to entities, such as musical artists or movies, based on a user's search query and their media consumption history

    10 Min.

  4. 02.05.2025

    Searchable Index

    This US Patent, titled "Searchable Index," describes a system and methods for generating searchable indexes to enhance the efficiency of information retrieval. It outlines how rules derived from a machine-learned model are used to create a token-based index.

    7 Min.

  5. 25.04.2025

    Contextual Search on Multimedia Content

    This patent application from Google details methods and systems for contextual multimedia search. When a user searches while viewing multimedia content, the system extracts relevant entities from the content and uses them to rewrite the user's query.

    12 Min.

  6. 18.04.2025

    Generating Query Answers from User History

    This patent publication describes a system for generating search results based on a user's natural language query. The system considers information previously accessed by the user across various devices and applications, such as email and web history.

    8 Min.

  7. 04.04.2025

    Open Information Extraction from the Web

    This patent explores open information extraction, a new extraction paradigm has been developed in which a system makes a single data-driven pass over a corpus of text, extracting a large set of relational tuples without requiring any human input

    17 Min.

  8. 28.03.2025

    Identifying Subjective Attributes by Curation Signal Analysis

    The Identifying Subjective Attributes by Curation Signal Analysis patent outlines a system and method for automatically identifying and predicting subjective qualities of entities like media or articles.

    11 Min.
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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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  • Erstellt von
    Mark Williams-Cook
  • Jahre aktiv
    2024 - 2025
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