The SEO Patent Podcast – Details, episodes & analysis

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The SEO Patent Podcast

Mark Williams-Cook

Business

Frequency: 1 episode/14d. Total Eps: 26

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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Data updated on 04/07/2026

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Score global : 42%

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BlockRank: Scalable In-context Ranking with Generative Models

Season 1 · Episode 26

Monday, October 27, 2025 • Duration 14:24

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

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Query Response Using A Custom Corpus

Season 1 · Episode 25

Friday, May 30, 2025 • Duration 11:29

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.

The SEO Patent Podcast – Details, episodes & analysis

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The SEO Patent Podcast – Details, episodes & analysis

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