Google’s ‘People Also Ask’ Patent

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Google Related Questions

Google’s People Also Ask Questions Patent

When you search at Google, the answers you receive sometimes now include additional questions, that often have the label above them, “People Also Ask.” I was curious if I might be able to find a patent about these questions, and I saw that these “people also ask” questions were sometimes referred to as “related questions.”

An article at Moz today on the topic was interesting: Infinite ‘People Also Ask’ Boxes: Research and SEO Opportunities. The answers about how these related questions are decided upon seem to have a simpler origin as described in Google’s patent, but it is interesting comparing the ideas from that post with the patent.

I searched through Google patent search for “related questions” and I came up with a patent named, “Generating related questions for search queries”. When I looked at the screenshots that accompanied the patent, they appeared to be very similar to the “People also ask” type questions Google shows us today in search results.

What does a dog bark mean?

The patent provides some information about how Google gets these “people also ask” or related questions.

It appears that Google looks at a query it receives and after receiving a number of search results, will decide upon one or more topic sets for each of the search result resources from “previously submitted search queries that have resulted in users selecting search results identifying the search result resource” and “selecting related questions from a question database using the topic sets.” The “people also ask” questions that are selected from those topic sets may be returned along with search results for the query searched for.

The question database includes previously submitted search queries that have been determined to be in question form.

Deciding upon topic sets for each of the search result resources involves:

(1) Identifying qualified search queries for the search result resource – previously submitted search query that resulted in a user selecting a search result that identifies the search result resource;

(2) Ranking the qualified search queries based either on a number of times each query has been submitted or based on a number of times users have selected a search result identifying the search result resource after submitting each query; and

(3) Selecting one or more highest-ranked qualified search queries as the topic sets for the search result resource.

The “people also ask” questions chosen to be included with a set of search results might be compared with each other, and if they appear to be equivalents of one another, the best version of that question might replace equivalent questions.

The patent gives us a reason for showing searchers these “people also ask” questions:

Providing related questions to users can help users who are using un-common keywords or terminology in their search query to identify keywords or terms that are more commonly used to describe their intent. The user experience can be improved by submitting the displayed content of a related question as a new search query and receiving a pre-determined, pre-formatted answer to the related question as part of a response from the search engine.

The people also ask patent is:

Generating related questions for search queries
Inventors Yossi Matias, Dvir Keysar, Gal Chechik, Ziv Bar-Yossef, Tomer Shmiel
Publication number US9213748 B1
Granted date: Dec 15, 2015
Filing date Mar 14, 2013

Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for identifying related questions for a search query is described. One of the methods includes receiving a search query from a user device; obtaining a plurality of search results for the search query provided by a search engine, wherein each of the search results identifies a respective search result resource; determining one or more respective topic sets for each search result resource, wherein the topic sets for the search result resource are selected from previously submitted search queries that have resulted in users selecting search results identifying the search result resource; selecting related questions from a question database using the topic sets; and transmitting data identifying the related questions to the user device as part of a response to the search query.

The Question Database

The question database may be selected from queries that are in question form, and a query may be determined to have been in question form based upon a number of features that may be associated with it. It might have:

The predetermined set of question terms can include one or more of interrogative words, e.g., interrogative determiners, interrogative pronouns, and interrogative pro-adverbs, other function words that are frequently used to ask a question,

It may also have punctuation marks, such as question marks.

It may match certain question query templates, such as, “why is [X] used,” where [X] is a placeholder for one or more query terms.

The search queries that are selected may have to meet a threshold of having been asked a certain number of times before it is selected as a potentially related question.

“People also ask” questions may also be taken from other sources than just queries and could include questions from question and answer websites.

Take-Aways

The patent tells us about the selection of search queries and sources of answers to those queries. When questions are selected, they may be ranked more highly based upon things such as whether they were provided as questions that came with answers. “People also ask” Questions may be promoted in rankings, and questions without answers may be demoted as choices of related questions.

A quality score for answers may be based upon such things as:

(1) A quality score generated by the search engine for the resource from which the answer is derived (the page that is the source of the answer).

(2) The quality of the answer may be based in part on a ranking of a search result identifying the resource from which the answer is derived in a ranking of search results generated by the search engine in response to the question being submitted as a search query.

(3) The quality of the answer may be based in part on the length of the answer, i.e., the number of tokens, terms, or characters in the answer.

(4) If multiple answers are available for a given question, the quality of each answer can be based in part on the number or proportion of terms in the answer that are repeated in other answers for the question.

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18 thoughts on “Google’s ‘People Also Ask’ Patent”

  1. Mr. Bill Slawski thanks.
    I have not any idea about googles ‘People Also Ask’ before reading this article, this article is really too helpful for me
    thanks and regards

  2. Thanks for info. It looks like the links listed in the “People also ask” are web or blog entries that appear in the first page of Google for relevant searched words.

  3. I do see this as an important part of search… I can think of many query’s where I had to stop and consider the best words to make a query.

  4. Thank you for sharing excellent information. Your website is very cool. I am impressed by the details that you have on this blog. It reveals how nicely you understand this subject.

  5. This will be an interesting update to Google and I look forward to how it benefits me in my classes at school. Overtime I wonder how this will integrate with Q&A websites like Yahoo and Quora.

  6. Hey Bill,

    Willing to read your wonderful experience regarding this subject and you have scattered amazing information which surely help to boost learning. Google always update itself and its intensity to enhance the users experience. Thanks for revealing a light on this topic.

    With best wishes,

    Amar kumar

  7. Hey Bill,

    Willing to browse your rattling expertise concerning this subject and you’ve got scattered wonderful info that certainly facilitate to spice up learning. Google forever update itself and its intensity to boost the users expertise. Thanks for revealing a light-weight on this subject.

    With best desires,

    MD. Rezaul Hoque

  8. I do see this as an important part of search… I can think of many Query’s where I had to stop and consider the best words to make a Query.

  9. Really interesting article. Thank you for sharing such an innovative and creative post. Hopes more from you.

  10. Always fun to learn about the origins of Google’s latest features … thanks for your hard work on this post!

  11. This actually is a great opportunity indeed to write the best possible answer to the related queries. Google will decide about adding that to their answers later on but we need to focus on creating great content that solves such questions. Great and insightful article!

  12. Im new to SEO, related search queries seem to be a important part of it. thanks for the article.

  13. iam new to google SEO this will helpful for me , how this related algorithm will work ., keep posting,
    thank you

  14. I really appreciate your research and comments on Google’s patent. Thanks for your 4 point summary on what constitutes a quality score. It is powerful to understand how search engines strive to match user intent with trusted search results for the query searched for.

  15. Hi Jeannie,

    I really like the transformation that search results have gone through over the past decade or so, with question answers and related questions and knowledge panels and sitelinks. It is exciting seeing how both Google and Bing are changing the way results look.

  16. So right – with the huge value of a site link and image appeal – I am sure that users love the new ways these are integrated into features snippets, answer boxes, knowledge graphs, carousels, etc. It is fascinating to see how this works with machine learning and Artificial Intelligence.

    I appreciate your comment and insights. You’re a digital marketing influencer that I love to follow and learn from!

    Thanks, JH

  17. hi.
    Informative one.thank u:)

    is still Google sandbox exists.?
    can you explain it more clear.?

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