Google Patent: Rewriting Queries In Line With Context To Meet Rationale

Google Patent: Rewriting Queries In Line With Context To Meet Rationale

A NEW patent from Google tells us how queries could also be rewritten in line with the context of these searches to better meet seek intent.So what's This New Search Motive-based Patent Approximately?Predicting Intent in Searches With an Consciousness of ContextExpanding Reason in Search Results

I’ve been looking at assets of knowledge that discuss the reason behind searches for many years now.I stay a watch out for patents from the hunt engines, and what seek engineers have been announcing about patents, to boot.

So whilst a newly granted patent from Google is called “Predicting rationale of a seek for a specific context,” the authors of the patent have captured my attention. that is a patent granted in February of 2021.

My pastime in these search intent-based totally patents has led me to write posts similar to A Smartly-Shaped Query Is Helping Engines Like Google Be Mindful Person Motive in the Query and Why Do Other People Google Google? Understanding Consumer Knowledge to Measure Searcher Reason.

This has also been the subject of presentations I’ve noticed at search conferences, with the presenters of these sessions insisting that an WEBSITE POSITIONING skilled should look at the search engines like google and yahoo that desired keywords take them to

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These audio system recommend that you have a look at the cause at the back of pages for those chosen key phrases to get an concept of how folks have been optimizing pages score for certain keywords.

So what is This New Search Motive-based totally Patent Approximately?

The Predicting motive of a seek for a selected context patent starts via telling us that a searcher might use a laptop to acquire data and facts to help the searcher in accomplishing a undeniable activity.

To a search engine, each seek starts with a searcher guessing query terms (or key phrases) to make use of to take a look at to search out knowledge.

This patent tells us that a searcher must provide enough information (e.g., seek query terms) to lead a computing device to find the tips a searcher seeks.

we're counseled that if a search question is not narrowly tailored, or if the searcher doesn't provide so much in the means of additional data past the query, a computer might go back an excessive amount of data.

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This May mean that some of essentially the most attention-grabbing or related knowledge may be tricky for a searcher to seek out.

Like many patents, at the get started of the description, it issues out issues that a searcher can have.

Those are the problems that a searcher might face while attempting to search out data:

The searcher may revel in stress and/or waste helpful time and instruments inputting very designated queries and right into a notebook, inflicting the notebook to execute a couple of searches, or sifting through large amounts of seek effects, to procure information essential to accomplish a undeniable process.

So Much patents provide algorithms intended to supply find out how to clear up issues that is also recognized within the patent, and this one gets proper to that point:

Techniques from this patent can help a computing device predict seek purpose of a query for a specific context of a computing device.

A search engine would possibly look at contextual data to achieve an concept of the intents at the back of a query.

define search intent flowchart

The patent gives us a few examples:

Locations. Consumer hobby. Times of day.

It then tells us that the computing device would possibly then outline a relevant context for a search question and are expecting, in accordance with that related context, rationale, or the aim of a search the usage of the search question within the relevant context.

The patented process may then alter the search effects so that the information for satisfying the motive is emphasised over other data again from the hunt.

The patent then supplies examples as an instance what they're going to try to do:

After a consumer of a pc purchases tickets to a selected film that may be out in movie theatres, a person can cause the computing gadget to execute a search the usage of the title of the precise film as a part of a question.

The patented system might download contextual information including an indication that the tickets were already purchased for a long term showing of the particular movie.

In reaction, the gadget might infer (e.g., in line with log knowledge indicative of consumer-initiated actions carried out by means of different computing units) that the quest including the identify of the precise movie is for a function rather than buying further tickets.

The system might subsequently adjust the search effects returned from the search so that movie showtimes are ranked less than different information (e.g., evaluations, memorabilia, trivialities, and the like.) about the precise film.

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The inventors of the patent give an explanation for why they used this example of a movie to inform us approximately context.

they are saying that by way of robotically adjusting seek results to emphasize information a searcher is much more likely to be looking for, in a current context (after buying movie tickets), the machine might permit searchers to enjoy less rigidity and/or now not waste helpful time and resources.

Time spent attempting to find the information in and amongst search results (via together with the film title in the query performed) is lowered.

The patent tells us that in the use of contextual information within the query to help go back higher effects in keeping with the purpose at the back of the hunt, it is going to make sure not to floor effects that provide for my part-identifiable data.

In simple phrases: Give the people what they want!

And they're fascinated about personal privateness, too:

as an example, a person’s identification is also treated in order that no personally identifiable data may also be made up our minds concerning the user, or a user’s geographic location may be generalized where region data is acquired (corresponding to to a city, ZIP code, or state stage) in order that a particular location of a user can't be made up our minds.

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This patent will also be discovered at:

Predicting intent of a seek for a particular context
Inventors: Yew Jin Lim, Josep Linn, Yuling Liang, Carsten Steinebach, Wei Lwun Lu, Dong Hyun Kim, James Kunz, Lauren Koepnick, and Min Yang
Assignee: Google LLC
US Patent: 10,909,124
Granted: February 2, 2021
Filed: Might 18, 2017


A computing machine is defined that determines, according to person-initiated actions performed via a bunch of computing devices, an purpose of a seek the use of a selected seek query received from a laptop.

The computing gadget adjusts, according to the cause, no less than a particular part of search effects got from the search the usage of the quest question via emphasizing information that satisfies the motive.

The computing gadget sends, to the laptop, a sign of the adjusted seek results.

Predicting Reason in Searches With an Consciousness of Context

Google tells us concerning the varieties of contextual information that might be thought to be while queries are carried out, and that they could include information equivalent to:

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Consumer subjects of hobby (e.g., a person’s favourite “issues” in most cases maintained as a user pastime graph or some other type of information structure). Seek histories. Area histories. Long and brief-time period tasks. Calendar knowledge. Software use histories. Acquire histories. Favorites. Bookmarks. Different data that computing units and knowledge server methods can collect a couple of person of computing devices. Knowledge concerning the working state of a computing device. The bodily and/or digital atmosphere of the user and/or the workstation at quite a lot of locations and times.

How may a seek engine use this context to foretell a question that gives useful and useful knowledge to a searcher?

this is what the patent issues to:

Prediction module may execute a gadget-studying model (e.g., a deep-finding out fashion) that gets as inputs: a seek question (or component of a search query) and a present context won from the context module.

The machine-finding out model may generate as output, a sign (akin to a label or other identifier) of an rationale of a seek the usage of the search question for the present context.

The intents made up our minds through the prediction module may be decided on from a group of predefined intents.
Some examples of predefined intents come with transportation or trip-comparable intents (e.g., journey sharing, flight status, ticket purchase, schedules, and different transportation-related intents) and leisure-related intents (e.g., film evaluation, showtimes, price ticket purchase, cast member biography, album or song overview, artist biography, artist excursion dates, and different entertainment-comparable intents).

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Also, a score associated with cause could also be decided upon.

that is what the patent tells us approximately that ranking:

The rating of reason may indicate some extent of confidence (e.g., a probability or other level of chance) that the purpose of executing a seek the use of the search question in a current context is to procure data that satisfies the purpose.

of course, now we have noticed language about positive thresholds being met with that rating.

If the ranking is not high enough, the search engine may chorus from adjusting search effects according to the purpose.

Conversely, if it is over that threshold, the impact of cause at the query may be so much stronger.

The patent provides a lot more element on how purpose might be utilized in reference to reason to deliver results that meet the situational and informational needs of searchers.

Increasing Rationale in Search Effects

When search engineers have written in the earlier approximately intent and search, they'd steadily discuss reason in phrases corresponding to:

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Informational. Commercial. Transactional. Navigational.

An informational reason gets the response of a consequence that back details about a question, similar to the historical past of pizza, or a pizza recipe.

A commercial intent will get the response of a outcome that returned some way to buy something associated with a query, such as a neighborhood pizzeria, a shop that sells pizza crust and sauce, and ovens.

A transactional intent will get the reaction of a end result that enables a visitor to take a few type of action, similar to ordering a pizza for supply to their house.

A navigational purpose gets the reaction of a outcome that permits a searcher to visit a page that they may have visited prior to, or that they have got an idea that it exists. An instance of this would be a page that tells them approximately where Dominos Pizza was once began, and who is on the board of directors for the corporate.

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In remaining, this patent seems at the context of a search and attempts to bet at the purpose in the back of that search in line with that context.

this may involve a rewriting of the query to incorporate details about that context.

More Resources:

Google Search Patents 2020: The Mega-Publish Roundup The Mechanics of E-A-T: How Google Patents Can Help Provide An Explanation For How E-A-T Works The Most Important SEARCH ENGINE MARKETING Tendencies of 2021, In Step With 42 Experts

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Screenshot taken by creator, March 2021

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