Here you can find a database of hundreds of search related active patents and papers. The patents and papers are tagged by SEO 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 Thought Leader 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 Research paper is scheduled to be presented at TheWebConf 2025 conference taking place June 03-05, 2025 in Woodstock, NY. The paper discusses a novel approach to preserving structural and read more
The patent describes a method performed by a server system to generate and display a structured information page associated with an entity. When the server system receives a request from read more
This patent describes a sophisticated multi-stage query processing system and method for handling document searches efficiently. The system processes queries in multiple stages, using different scoring methods at each stage read more
This patent describes a method and system for training distilled machine learning models using a teacher-student approach. The technology enables creating smaller, more efficient models while maintaining accuracy by learning read more
This paper introduces RARe, a novel approach that enhances retrieval models by incorporating in-context examples during both training and inference. The method modifies query formats by adding semantically similar query-document read more
The patent describes a method and system for efficiently indexing documents with similar content. It groups documents into clusters, identifies duplicate data within each cluster, and generates an index that read more
This Google patent describes a system for document scoring based on traffic and various historical factors to improve search engine results. The system determines scores by analyzing advertisement presentation, advertiser read more
The patent describes methods and apparatus for ranking and scoring documents based on various parameters like document freshness, source importance, and cluster relationships. It was developed to help users find read more
This patent describes a deep learning system that uses embedding functions to process different types of input features. The system processes categorically distinct features through specialized embedding functions that convert read more
The document is an official overview of Googles Large Language Model Gemin. Gemini, Google’s advanced AI app, offers a multimodal large language model (LLM) interface, handling text, audio, and images. read more
