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.
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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 Google patent application describes methods and systems for an intelligent video search interface that provides predictive search suggestions and automatic video playback. The system combines character-based search prediction with read more
This Googe patent describes a location-based search system that enables mobile devices to receive relevant search results based on their geographical location without requiring explicit user queries. Here’s a summary: read more
This paper by Google presents an exploratory study analyzing how developers use software documentation through log analysis of over 100,000 users across four Google cloud services. The research combines automated read more
The Prompt Canvas provides a structured framework that consolidates various prompt engineering techniques into a cohesive visual format, helping practitioners optimize their interactions with Large Language Models through evidence-based methods. read more
This Microsoft patent describes an innovative search query suggestion system that combines knowledge graphs with machine learning to provide contextually relevant query suggestions. The technology presents suggested queries based on read more
The paper evaluates the verifiability of four generative search engines: Bing Chat, NeevaAI, perplexity.ai, and YouChat. The study reveals that these systems often produce fluent and seemingly helpful responses but read more
This Google patent describes a graph processing system that uses neural networks to represent and analyze relationships between nodes in a graph. The system employs a manifold neural network to read more
The patent discusses a method and system for modifying search queries based on discourse context. The method involves determining if a subsequent query belongs to an existing discourse context, then read more
This patent describes a system for enhancing automated assistant responses using large language models (LLMs). The system processes spoken utterances, generates initial responses, and then modifies these responses using LLM read more
The research paper by Google introduces approaches to improve the accuracy of large language models (LLMs) by integrating them with Data Commons, a repository of public statistics. The methods, Retrieval read more
