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.
You can navigate and filter the analysis by the internal search or by the tags. It is possible to combine the tags.
Subscribe to my newsletter or follow my RSS feed to make sure you don’t miss any new patents and papers.
To read the full patent and paper analysis and full usage of the SEO Research Suite including AI research assistants you have to sign up for a monthly or yearly membership.
I am very grateful if you support and motivate me and this project with a paid membership, recommendation, reference …
Your advantages as a SEO Research Suite member:
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.
The system breaks down two documents into smaller text blocks, encodes each block using a machine-learned model, and then compares these encodings to calculate a similarity score, indicating how similar read more
This patent describes methods, systems, and computer programs for training a machine learning model to predict user interactions with web content, like text or images, based on search queries. The read more
The patent describes a method for categorizing search queries based on the images returned in the search results. It involves analyzing user behavior data associated with these images, such as read more
The patent describes a method for evaluating if a person’s understanding of a search query is correct. It trains a computer model with past search queries and human interpretations to read more
The patent describes a system that improves search result rankings based on how long users view each result. It calculates relevance by comparing the number of longer views to shorter read more
The patent aims to improve the quality of short answers provided by search engines. The patent focuses on generating short answers for search queries. It involves a training operation on a read more
The patent focusses on enhancing the way search engines handle multiple, related search queries from a user.
The patent focuses on enhancing search query suggestions and the delivery of search results. It introduces a system where search results are provided based on prediction criteria, independent of user read more
The patent describes a method for retrieving image search results using a trained embedding neural network model.
The Twiddler Quick Start Guide outlines the functionalities and usage of the Twiddler framework within Google’s Superroot system, focusing on re-ranking search results from a single corpus. It supports two read more
