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What Is the MUM Intelligence Algorithm & What Role Does It Play In Google Search Results?

When difficult and complex questions arise, we usually reach out to individuals and individuals to obtain information that is directly relevant to our search and expect an appropriate response from a human agent. Now imagine that no one is available to help you find what you are looking for. This is where we introduce you to a technology based on perceptual intelligence that realizes what you want in an instant and pays attention to points that never even crossed your mind before. Join us to welcome Google soon.

Introduction of MUM – MUM algorithm

Google’s MUM intelligence, abbreviated as Google Multitask Unified Model, as described by the developers of this powerful mechanism, has emerged to process the data needed by audiences from billions of pages of content to more than 75 different languages. Suitable for them, give them. But that is not all, and the story does not end with the phrase “give it to them.” In a way, we can say that this Q&A cycle is so dynamic and extensive that neither you nor MUM will ever get along.

Man is constantly learning, and he learns this by looking for anything. From the shoes he puts on to the car he rides in and the work he does and even eats, he learns how to use a spoon and fork. So we can say that without learning, man is a natural machine. MUM has taken a step in the same direction, and if we give him limbs in the form of an object, install sensors and eye lenses for him, as well as place a speaker in his mechanical mouth, with these few items, you will see that MUM is with you. He talks, communicates with his gaze, and with his hands on the map, plans a fun weekend at the place you love.

Learning, analysis and discovery in MUM has become a reality called the production of unique information and has entered areas where the prospect is to anticipate and provide thoughtful solutions.

MUM algorithm structure

MUM intelligence consists of several innovations. In a research paper, Google points to a single multitasking model, which has the ability to do everything well, and finds it an attractive challenge.

MUM intelligence, however, is able to process the natural language of human beings in every part of the tasks it performs, and by studying and examining documents, recognizes the difference between each type of language and, as a result, for the question that has been asked either in the source language and or provide open-ended answers in any other language. We know this way of exchanging information in Lambda intelligence, which brings an infinitely choice conversation in a two- or multi-way conversation and is able to give a relevant answer by changing the subject at any time and create an attractive interactive atmosphere. .

Let’s go back to ourselves and human life, travel through time, and get right to the point where the first two humans found a way to communicate verbally with each other. At first it was sounds and sounds and based on the type and shape of the sound that was raised, they understood the meaning and then they learned to plan and organize it. In the SEE series, we see how a blind person can go to war with his senses and voice, of course, bring nature to its knees and walk the earth for miles to achieve the goals it wants. MUM intelligence is also the past of early humans today, and it can find or produce a language for what it seeks in return for what it seeks. This efficient intelligence has been able to solve many problems and issues with the features of “multitasking” and “integrated solutions”, which is the encyclopedia of data obtained.

Now that you are reading this article, MUM Intelligence is learning and searching in all languages ​​and cultures. It learns the available documentation and data, and stores what we call the “mind” under the system name “Integrated Solutions” so that it can instantly respond to a request in several simultaneous ways. Give.

Other questions in a sentence marked with “?” They will not be limited, but MUM expresses information in a paragraph by the search engine user, and these answers are not, of course, what we want to call a reference with a link or snippet. MUM provides answers in the form of documents, and if we want to explain it a little easier, the questions and words that seek answers are answered as advice, suggestions or solutions.

In the MUM system, with complex and long searches (Long Form Question Answering) , the answer received is long and multifaceted. (Paragraphs information, multiple subtopics).

Are we talking about human-to-human dialogue? A secret algorithm called pirate algorithm in front of you, naturally, a scientist with information as vast as human history, is also multitasking.

The answer that MUM gives us is not just a final answer, and it’s so interesting that it even challenges the type of question you have, and if you ask a relatively incomprehensible question or MUM recognizes that more data can be considered, then see what you get:

Google can help you with this, but based on the thoughtful search that takes place, you need to find the height of the mountain, the average temperature in the fall, the difficulty of the trails, and the equipment to use.

In this paragraph, we saw that Google suggests other topics before responding to the topic, most of which are related to up-to-date information and complete data diversity. An alarm for the webmaster and SEO expert as well as the content producer, to implement the basic needs and focused answers for the audience, instead of presenting a tortuous article, with a multitude of Chinese introductions and multiple keywords.

Now let us ask MUM a question, the answer to which is very crucial and refers to how it is shaped, the type of content writing and its production.

Question: What is the difference between river, lake and ocean waters?

To answer this question, our content must discuss quality (lakes, rivers, and seas) as well as comparisons between water masses. That is, one answer is not enough, but analytical answers with more relevant information.

MUM answer

  • A lake is referred to as still water, but the river has running water. The water of the lake and river is clear, but sometimes it may be salty. The ocean is miles deep and cannot be used primarily as drinking water.

Now you might say to yourself, given the questions and their complexity, we can provide answers like this in paragraph form, but you are sorely mistaken, because what you read as the answer above is found by MUM throughout your content and then by Advanced knowledge and analysis become the answer. In fact, if we want to ask our question from Google now, the answer is:

  • The water of the lake is still.
  • The river has running water.
  • The water of the lake and river is clear and may be salty.
  • The ocean is miles deep and its water is not drinkable.

Examples of MUM algorithms

Normally, as we reviewed, you should have a different search for each tool and need, and prepare a checklist from the answers and then get a proper analysis. In fact, planning a trip to Mount Fuji was not even limited to Google results, but we will need information to learn about the experiences of other climbers.

This is where MUM eliminates the entire process and gives you, in the role of an experienced climber, information such as weather conditions and access and climbing routes, and then also provides the necessary equipment and consumables. Since I’m talking about Google, while viewing the long answer, you will be able to buy your warm clothes, choose your shoe model, and if a mountaineering team plans to navigate during that time, join them in their program. .

MUM intelligence collects a variety of information from a variety of sources with a myriad of factors and avoids archiving searches that provide users with information about a variety of related terms, and certainly their feedback and comments. And most importantly, the climbers’ blogs and their memories are processed from another branch. So when you encounter a review or aggregate Rating alert on the Google console , you should be very quick to think about attracting your customers and contacts, and this is where fake comments and your own scores posted by admin have not only had no effect on search results. , But also includes the terms of Self-serving reviews and such content or product will not stand a chance of being monitored by MUM.

In complex questions such as mountaineering with it all depends on the combination of beings and desires as well as desires, and MUM intends to understand a certain thing. Although machines have difficulty understanding human language, algorithms, and intelligences such as BERT and MUM have really come close to being able to say that they fully understand human language.

Photo by PhotoMIX Company on

MUM algorithm and conceptual search results

The answers that MUM gives us have photos, videos and even a live map, which we call multi-modal, because it provides useful information about an especially important word and concept called rich results. A rich result with a different answer tries to present a new shape called guidance and advice, and by connecting to the lens service, you take a picture of gloves, shoes, or a device with your camera to tell MUM if this equipment is suitable for the purpose.

Is it you or not and then gives you offers that are both informative and offer products for sale? So in the online stores section, the completeness of the photo gallery, product features and related products play a more prominent role. which teaches users to click on different elements and browse data by them. This information allows him to analyze the user’s search path and model it to generate satisfactory answers. How to prepare a complex answer to a difficult question, in understanding the user’s behavior from the beginning of the search, entering the site, clicking on anything and then finds more valuable pages that the user has been able to reach a result. 

Then, by collecting and processing all kinds of results and pages, sitting down to understand the questions and the purpose of asking them, he tries to create the main and basic questions that thousands of other questions reach the same purpose.

The Multitask Mixture of Sequential Experts for User Activity Streams algorithm is a machine-based technology that learns to predict complex multi-step search patterns from multiple data sources, including search logs. Although the features of Mouse are very interestingly compatible with the MUM algorithm, it is MUM in particular that can answer complex questions and is 1000 times more powerful than technologies such as BERT .

More information, less search; This is one of the main goals of MUM and the ultimate goal of all of them is to help get the most complete information from the most diverse categories. When we look at the search results space, we see that Google is providing information on its own without direct reference to a specific link, and with bold responses and the addition of new sections that once again place rich results It is important, it evokes the image of a search engine that wants to answer the questions itself.

Google started testing and developing MUM a long time ago, and will continue the process until it is fully convinced to add it to the search engine. Although no specific time has been set for the full deployment of MUM, it did not take long for BERT.

How to prepare for MUM? Site optimization for MUM algorithm

The presence of intelligence and the MUM algorithm simply means better search results for the audience, but it may also bring a new form of search appearance and information presentation and can affect how you manage and strategize on content production. An expert analysis is that solving users’ problems directly on the site, which is provided in the form of questions and answers, can be less important, because MUM collects the answers from all over the web and after analysis and summarization, available Asks the question posed in the search engine. You need to constantly update products, complete business data on your site, and branding and popularity, because we know that in the MUM presence, users will encounter your brand. It’s still too late to tell you to think about turning site traffic into a loyal customer right now.

Google’s algorithms for reading and understanding text and data are evolving like a human. Therefore, in order to deal with situations where perception and intelligence are paramount, we must focus on the data that is produced for the audience and their tastes and needs. To say that a human being visits our site and a human agent called MUM reads our content reflects the fact that the concept of SEO is only about ways to present a rich and fluid content with a focus on the subject matter and avoidance. Any false information brings a new field of emergence. Using structured data (schemas) gives search engines like Google stronger insights and impact on existing content. Schema helps Google figure out what is on a page and qualifies you for rich results.

In addition, we need to have good content that is easy to read and naturally optimized. To get good rankings, do not saturate your text with a keyword, but write content that your audience wants to read. Generate content for the customer, not the search engine.


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