Here you can find a database of hundreds of search related active patents and papers. The patents and papers are tagged by SEO and LLMO/GEO related topics, steps of the information retrieval process and the probabilty they could be used nowadays or in the future.
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A patent application does not mean that the methods described there will find its way into practice in the search engines. An indication of whether a methodology/technology is so interesting for Google that it could find its way into practice can be obtained by checking whether the patent is pending only in the US or other countries. The claim for a patent priority for other countries must be made 12 months after the first filing.Regardless of whether a patent finds its way into practice, it makes sense to deal with Google patents, as you get an indication of the topics and challenges that product developers at Google and other search engines are dealing with.
This paper introduces CoT-RAG, a novel framework that combines Chain of Thought reasoning with Retrieval-Augmented Generation to enhance the reasoning capabilities of Large Language Models. The framework features three key read more
This Google patent describes a system and method for processing compound queries by breaking them into multiple subqueries. The technology allows users to submit a single complex query instead of read more
This Microsoft patent describes a multi-modal search request routing system that intelligently directs user queries to either a traditional search engine or a chat engine. The system makes routing decisions read more
This Microsoft patent describes a system for generating personalized search summaries based on user characteristics and intent. The technology uses machine learning to determine user intent from search queries and read more
This Google patent describes a system and method for corroborating facts by analyzing anchor text in web documents. The system determines if a document is relevant to a set of read more
This Google patent describes a system and method for creating a searchable index based on machine learning models. The technology generates index entries containing tokens correlated with outcomes and their read more
This Google patent describes a web crawler algorithm that efficiently manages and updates cached web pages while optimizing resource usage. The system determines crawl values for web pages based on read more
This Google Deepmind paper presents a novel approach to Large Language Model (LLM) alignment by drawing parallels with Information Retrieval (IR) systems. The authors introduce LarPO (LLM Alignment as Retriever read more
This research paper presents a system that can automatically generate new, fine-grained categories for sets of related entities—such as items in a Wikipedia table—especially when no suitable category currently exists. read more
This Google Deepmind research paper examines the complex interplay between different uses of Large Language Models in information retrieval systems, particularly focusing on their roles as rankers, judges, and content read more
