Here you can find a database of hundreds of search related active patents and papers. The patents and papers are tagged by SEO and GEO related topics, steps of the information retrieval process and the probabilty they could be used nowadays or in the future.
You can navigate and filter the analysis by the internal search or by the tags. It is possible to combine the tags.
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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 Microsoft patent outlines a method for generating high-quality search query suggestions using machine learning and reinforcement learning. Initially, a base model is trained using real search queries previously entered read more
This Microsoft patent describes a method and system used by search engines to improve search results by identifying and resolving “bottleneck terms” within a user’s search query. A bottleneck term read more
This document explores how enabling reasoning in Large Language Models (LLMs) significantly improves their ability to recall simple factual knowledge, even for basic questions that do not require complex logical read more
This paper investigates how well-established text ranking methods from information retrieval (IR) perform in the context of “deep research” — a task where AI agents iteratively search the web and read more
This Google paper introduces GIST (Greedy Independent Set Thresholding), an algorithm designed to solve a new optimization problem called Max-Min Diversification with Monotone Submodular Utility (MDMS). The core challenge is read more
This Google paper presents a controlled user study examining how different types of explanations affect user trust in responses generated by Retrieval-Augmented Generation (RAG) systems. The researchers tested three explanation read more
This Google patent describes a system for calculating a “quality score” or “engagement level” for content items, specifically within social networking or web-based streams. Instead of simply showing the newest read more
The document from Google researchers introduces a method to improve “intent extraction”—the ability of an AI to look at a series of user actions on a phone or website and read more
This Google patent describes a system that predicts a user’s intent based on the specific webpage they are currently visiting and the navigational path they took to get there. Once read more
This Google patent describes a system that improves computer-based searches by allowing users to select which search criteria from a previous search they want to prioritize, then delivering a refined read more
