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.
The Microsoft patent describes a system and method for dynamically filtering search results based on user interactions. The system presents initial search results to a user and collects data on read more
The patent by OpenAI describes systems and methods for generating text and code embeddings using contrastive pre-training. It outlines a process of training a machine learning model on positive and read more
The research paper by Google introduces a new evaluation model called the CAS model (Clicks, Attention, and Satisfaction), which aims to better predict user satisfaction on SERPs by incorporating not read more
The Google patent describes a system for selecting documents to include in a search index based on predicting how useful they will be as search results. Key points: The system read more
The Google patent describes systems and methods for creating a personalized entity repository on a mobile device. This repository contains fixed sets of entities from a larger entity repository stored read more
The Google patent describes a user-context-based search engine that determines contexts of information to improve search results. It uses a method of dividing information into domains, creating domain lists of read more
The paper from Google titled “Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models” focuses on improving the reliability of Retrieval-Augmented Generation (RAG) systems, which integrate read more
The paper from Google Deepmind, titled “Bridging the Gap: Unpacking the Hidden Challenges in Knowledge Distillation for Online Ranking Systems,” explores the application of knowledge distillation (KD) in recommender systems, read more
The Google patent describes a system for retrieving and using contextual data from previous conversation sessions in conversational searches. It utilizes a session index repository that associates identifiers for user read more
The Google patent describes an on-device machine learning platform that enables on-device prediction, training, example collection, and other machine learning tasks. It allows applications to access machine learning models via read more
