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Getting Information about Search, SEO, and the Semantic Web Directly from the Search Engines

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How Google May Create Augmented Content

Augmented Content Items This patent relates to information presentation and content augmentation. (When a patent from Google refers to content in its title, it often means the content of advertisements, rather than the content of web pages.) The Internet provides access to a wide variety of resources. For example, video and audio files and web ... Read...

Tracking Trending Information on the Web

Finding Trending Information Through Google Many techniques are available to searchers to find information on the Web. Searchers often use browsers and search engines to find information of interest. The knowledge of interest may include currently popular documents among a group of searchers, such as videos that are presently popular from a video provisioning...

On-Device Machine Learning and Prediction

On-Device Machine Learning Tasks Such As Prediction, Training, and Example Collection This newly granted patent relates an on-device machine learning platform and associated techniques that enable on-device prediction, training, example collection, and other machine learning tasks or functionality. Before reading this post, there are many help, support,...

Rewritten Queries and User-Specific Knowledge Graphs

Rewritten Queries On Search Engines Using Mobile Devices People write queries for search engines to find answers that fill their situational or informational needs. A recently granted patent from Google describes how a search engine might provide rewritten queries for people searching using handheld mobile devices such as mobile phones. Queries are...

Semantic Relevance of Keywords

Prelude – What is a Keyword? Usually, a term or a phrase is selected to be associated with a page so that the page may rank for that term or phrase in search results. That is known as selecting a keyword for a page. Domain Terms as Keywords There are other times when you may ... Read more The post Semantic Relevance of Keywords appeared first on SEO...

Finding Locally Prominent Semantic Features

Determining Locally Prominent Semantic Features Using a Computer This patent relates to determining locally prominent semantic features using a computer. Operations associated with the state of a geographic area can get implemented on a variety of computers. These include processing data associated with the geographic area for later access and use by...

Term Frequency and Inverse Document Frequency at Google

Learning About SEO and How It Works With Language on Pages A couple of the concepts that you learn when learning SEO besides an inverted index at Google is how often words appear on pages and in Google’s index of the Web. Term Frequency Term Frequency is a measure of how often a term may ... Read more The post Term Frequency and Inverse Document Frequency...

Google’s Inverted Index of the Web

In the post 10 Most Important SEO Patents, Part 5 – Phrase-Based Indexing I wrote about how Google’s then Head of Webspam sent a newsletter to Librarians. It described the inverted index that Google used to organize terms in their index of the web. It is no longer available online, but it was a great ... Read more The post Google’s Inverted Index...

BERT Question-Answering at Google

BERT Question-Answering A Patent granted to Google on May 11, 2021, involves performing Natural language processing (“NLP”) tasks such as question answering. It relies on a language model pre-trained using world knowledge. Recent advances in language-model pre-training have resulted in language models such as Bidirectional Encoder Representations from...

Natural Language Query Responses

Natural Language Query Responses at Google The ubiquitous nature of the Internet and the ease with which searchers can access the Web from many sources can enable searchers to share information and search for information related to their interests. Searchers may share or search for things such as: Photographs Videos Music Blogs Messages Comments Other...

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