Bill Slawski

Bill Slawski can be found online at:

Twitter: bill_slawski



With more than 24 years of SEO experience and a Juris Doctor Degree, Bill Slawski is the foremost expert on Google’s patents as related to SEO. Bill is the Editor of SEO by the Sea, a prominent search engine optimization blog, where he is the author of over 1,300 posts.

Bill’s experience includes Fortune 500 brands and some of the largest websites in the world. Bill is a contributing author for Moz, Search Engine Land, and Search Engine Journal. In 2014-2021, he spoke at industry-leading conferences about topics including search engine algorithms, universal and blended search, personalization in search, search and social, and duplicate content problems, structured data, and schema

Information gain scores piggy bank

Ranking Search Results based on Information Gain Scores

Posted @ Jun 15 2020 by Bill Slawski

What are Information Gain Scores? A different way of ranking sources of information responsive to search requests is the topic of a patent application from Google. It is about information gain scores. Information gain scores indicate how much more information one source may bring to a person who has seen other sources on the same […]

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Word Sense Disambiguation - fishing for Bass

Word Sense Disambiguation Using Neural Networks

Posted @ Jun 01 2020 by Bill Slawski

Word Sense Disambiguation Helps Google Understand the Meaning of a Word on a Page About 40% of English words are polysemous. This means that they have more than one meaning. Some words, such as run or set have more than thirty different meanings. Polysemous words can cause difficulty in contexts where the meaning is other […]

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Native Applications Vertical Search Engine Featured

A Native Application Vertical Search Engine at Google

Posted @ May 19 2020 by Bill Slawski

Google was granted a patent last week that is about a search engine that can do keyword searches (or find an entity) for an application vertical search engine on mobile devices that can cover such things as: (i) Personal content such as contacts, messages, call history, documents, notes, calendar events, or the like (ii) Application-specific […]

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Offensive Words based on Context

Offensive Content Classification at Google

Posted @ May 06 2020 by Bill Slawski

Sometimes Some Words May Be Offensive or Non-Offensive Based on How They Are Used In some parts of the World, the word “Shag” describes an activity that some people might find offensive. I grew up in a home where we didn’t use that meaning of that word and had shag carpeting in many rooms. It […]

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Rewriting Questions-featured

How Google May Answer Better Questions by Rewriting Questions

Posted @ Apr 24 2020 by Bill Slawski

A task Google has set out to do recently is to respond to answer-seeking queries as I wrote about in the post, What are Good Answers for Queries that Ask Questions? Sometimes a query is best answered by a list of links to documents found on the web (i.e. “best restaurants in NYC.”) and there […]

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image selection video search results featured image

Google Returning Video Search Results Using Machine Learning?

Posted @ Apr 14 2020 by Bill Slawski

Problems with Video Search Results An area causing problems for searchers is when they may be looking for a video in response to a query. A Google patent recently granted describes how Google may be responding to queries that surface video search results. The patent tells us that the purpose behind it is “identifying videos […]

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Personalized Landmarks Featured Image

Human-Friendly Driving Directions Based Upon Personalized Landmarks

Posted @ Apr 01 2020 by Bill Slawski

Google keeps information about your Mobile Location History and the places that you visit. It may remember those places and use them as personalized landmarks in the directions that it shows you in the future. It may also boost those places in Maps search results when it shows them to you. Human Friendly Driving Directions […]

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Question elements featured image

What are Good Answers for Queries that Ask Questions?

Posted @ Mar 23 2020 by Bill Slawski

Elements of Answer-Seeking Queries and Elements of Answers Google was recently granted a patent focusing on answer-seeking queries and providing good answers to such queries. Having an idea of what the elements of answer-seeking queries are can help people understand what they might need to publish to provide answers to those queries. So, it can […]

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How-to query

How Google May Choose Answers to How-to Queries

Posted @ Mar 11 2020 by Bill Slawski

How Google May Respond to How-To Queries Google has published a patent on how they might handle how-to queries Make sure to also read the Google Developer’s page about How to Use HowTo structured data, for information specifically about how Google recommends developers implement How-to Structured Markup. That page defines the purpose of How-to […]

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Automated Assistant Adjusting to a child's vocabulary

How an Automated Assistant May Respond to Queries from Children

Posted @ Mar 02 2020 by Bill Slawski

We’ve been seeing a few patents from Google about how their automated assistant works. Recent Posts I’ve written about those patents include: April 4, 2019 – Conversational Search Queries at Google (Context from Previous Sessions) – How Google may tag content to make it easier to respond to conversational queries, using contextual data from previous […]

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