Learn SEO Directly from the Search Engines
Some patents and some white papers focus upon search queries, and how a search engine might respond to what a searcher might be looking for, and help to fulfill the informational and situational needs they might have.
It is often tempting to think of search queries in terms of the intent behind them, whether they are informational, transactional or navigational. I recommend that people read the paper A Taxonomy of Web Search by Andrei Broder (who is now at Google) to learn more about the intents behind Search Queries.
With the Web becoming more Semantic and being more about finding entities, it’s possible that looking at search queries to see if they trigger the appearance of an answer box or a featured snippet will become more common.
A New Patent on Categorical Quality Some of the people who write patents for Google tend to stand out to me. One of those is Trystan Upstill. I noticed that he has published another patent that looks really interesting, and worth reading. When I started following his patents, I read his doctoral thesis, Document ranking … Read more How Google May Rank Some Results based on Categorical Quality
unsplash-logoSaketh Garuda Context Clusters and Query Suggestions at Google Context Clusters are topics or categories that might be selectable by a searcher to indicate the kind of search suggestion that might be shown to that searcher. A new patent application from Google tells us about how the search engine may use context to find query … Read more Context Clusters in Search Query Suggestions
Quality Scores and Augmentation Queries This past March, Google was granted a patent that involves giving quality scores to queries (the quote below is from that patent). The patent refers to high scoring queries as augmentation queries. Interesting to see that searcher selection is one way that might be used to determine the quality scores … Read more Quality Scores for Queries: Structured Data, Synthetic Queries and Augmentation Queries
How Search Engine Queries to Identify Entity Attributes What are query stream ontologies, and how might they change search? Search engines trained us to use keywords when we searched – to try to guess what words or phrases might be the best ones to use to try to find something we are interested in. That … Read more Search Engine Queries May be Used to Identify Entity Attributes
Google’s Word Vectors Approach In October of 2015, a new algorithm was announced by members of the Google Brain team, described in this post from Search Engine Land – Meet RankBrain: The Artificial Intelligence That’s Now Processing Google Search Results One of the Google Brain team members who gave Bloomberg News a long interview on … Read more Citations behind the Google Brain Word Vectors Approach