Details of Google new central algorithm and its new search engine Dataset Search

google - dataset search - saul ameliach

Google member John Mueller; gave additional details on what could cause a site to lose rank in the recent update of Google central algorithmThus and it has nothing to do with the authors.

However, Ask about updating Google central algorithm

“After the recent update of Google search algorithm; we have seen a dramatic negative impact on our average rankings for our most common keywords. Our site hasn’t changed. Can you describe what changes might be affecting SEO?”

¿What change brings the new central algorithm?

John Mueller responded with a general description of what changed:

It’s not that your website is low quality, it’s about how Google defines what’s relevant to a user’s query; what’s relevant to specific users.

This is what John Mueller said about Google:

“This is something like we mentioned before. These are general algorithm updates that we rarely do regarding search. And it’s not that your site is worse or different in any way. Basically, our algorithms are re-evaluating what we think makes sense what we think is relevant to search results for specific queries and users.

And this can and must change over time. That’s completely normal. One example you can use is: if you have a consultation as better movies. So, it’s something like obviously, like last year, you’ll have a set of movies and maybe if you look at it this year, you’ll have a different set of movies.

And it’s not that old movies are worse in any way. It’s like things have changed. And that’s how things generally evolve…”


Meaning of changes in search queries

This part about changes in what search queries mean is an important conclusion. What a search query means for most users who make that search query is transient. Transitory means that it changes, that it is not permanent.

When people mean when they search for certain phrases, they can change. This does not mean that the definition of the phrase also changes.

t could be that what people want to do when they search with that phrase has changed. This is the intention of the user. When trying to understand why your site lost rankings, it is useful to understand what the user’s intention is for your web page and compare it with the user’s intention for the pages that moved up.


Evaluating sites that have lost rankings, some of the problems relate directly to content; and how it aligns with the intent of the predominant user.

There are many reasons why a site will lose rankings. In a core Algo (algorithm) update; it is good not to be locked into a single factor. But understanding user intent and how users are satisfied with a search result can sometimes be a good area to start research.

google - dataset search - saul ameliach

Dataset Search: New Google search engine

Google has launched a new type of search engine; it is specifically designed to help people find data. Called Dataset Search or “Data Set Search“.

The tool provides easier access to millions of data sets, in thousands of data repositories on the web.

Anyone can use Dataset Search, which is still in beta; but this new project emphasizes the benefits it has for journalists and data scientists.

“In today’s world, scientists in many disciplines and a growing number of journalists live and breathe data… To allow easy access to this information, we launched Dataset Search; so that scientists, data journalists, data geeks or anyone else can find the data required for their work and their stories, or simply to satisfy their intellectual curiosity”.

Dataset Search and datasets

The dataset search shows results for publishers sites; digital libraries; and authors personal web pages.

Google new search engine relies heavily on the dataset provider tagging scheme that was launched in July.

Data set tagging allows publishers to describe their data in a way that Google (and even other search engines) can better understand the content of their pages.

Google encourages dataset providers to use this tag so that their content is included in the dataset search.

Currently, dataset search; can be used to search for references to most datasets in environmental sciences, social sciences, as well as government data and data provided by news organizations.

As more publishers begin to use the new schema markup, Google will eventually expand the range of content included in Dataset Search.

Dataset Search is available in multiple languages and works just like any other search engine. Simply type in what you’re looking for and Google will return relevant datasets.

Jeni Tennison, who is CEO specialist of the Open Data Institute, says:

“To create a good search engine, you need to know how to create easy to use systems and understand what people mean when they type certain phrases. Something that Google has been able to do very well for some years now.

Ideally Google will publish its own set of data on how Dataset Search is used. Although the metadata tags the company uses will be open (so any competitor like Bing or Yandex can also use them and create a similar service), search engines will improve more quickly when a critical mass of users provide data about what they are doing.


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