• What is relevance? Five ways to determine a page's relevance to search queries

    Hello! In this article we analyze what relevance is, consider its types and calculation algorithms. I’ll tell you about relevant search results and methods for improving the relevance of a website page.

    This will allow you to more confidently promote pages and improve your site for search. After reading this article, you will rise to another level in the difficult task of creating and promoting websites, as well as making money on the Internet.

    The role of relevance in the work of search engines

    In order to confidently promote certain pages on request to the top, novice webmasters, optimizers and bloggers must know how Yandex and Google work. The ranking of pages by relevance in search engines is based on algorithms; in Yandex, this is Matrixnet machine learning technology. In addition, the results of a query are sometimes finalized by assessors, and these smallest factors are also reflected in the algorithm. In general, Matrixnet is a fairly effective system:

    Let's move on to the search work. An Internet user needs information - he has formed a personal idea in his mind of what kind of information it is and what exactly it contains. He goes to the search, formulates a search query and writes it into the search bar. The search generates results for it, ranking site pages in order, taking into account the algorithm’s processing of the “weight” of articles that have the highest relevance in the opinion of the search engine. How Matrixnet works in Yandex:

    Then the user follows the links and evaluates what was “slipped” to him. Let’s say that he opens up to ten links or only one, does not open the first one (because Wikipedia is there, and Wikipedia is not what the user needs), clarifies the query or enters another one (several times), or leaves the search. Study behavioral factors as it tracks the user, it allows the search engine to make sure that the search results contain links to relevant web pages. But the main focus of search is relevance. So, first, let’s give a definition of relevance (relevant in English means “related to the matter”), then we’ll look at examples of how to find it.

    What is relevance

    Relevance is a quantitative indicator of how much the sought, desired result corresponds to what was found. Does the information search engine to the user's request completely or does not satisfy the interest or need that has arisen and, thereby, forces them to return to the search results.

    Relevance is a parameter of compliance with user expectations correlated with the information actually received on the site page; it is a measure of how close a search engine is to “guessing” a user’s desire for information by ranking tens of thousands of pages.

    The main task of a search engine as a service is to produce relevant results for the user; the task of a webmaster when promoting a site based on semantic core queries is to ensure that the search engine perceives these pages as relevant. At the same time, the optimizer can work on both new pages and old ones. If the search engine considers them insufficiently relevant, it is necessary to work on the pages: determine compliance with queries, promote with internal and external links, and work on the page itself.

    What are the types of relevance?

    Strictly speaking, we can talk about three types of relevance:

    • site page relevance
    • search relevance ( search results)
    • link relevance

    Let's highlight 3 parameters that affect the relevance of the page:

    • number and variations of phrases matching the query
    • ratio and number of internal links to this page
    • ratio and quantity external links to this page

    If we are talking about the relevance of a page, then it reflects the evaluation of the article by search algorithms for compliance with the query entered by the user. At the same time, for a number of queries (which the user enters without detailed clarification), it is very difficult to get ahead of what the user needs. Therefore, when requesting “composing a semantic core”, services or instructions can be shown; in addition, video instructions from Youtube are included in the results. Or the request “site” - it’s normal that the PS is not able to immediately determine what the user needs. The accumulation and analysis of statistics comes to help, big data and user satisfaction analysis.

    Formal relevance is algorithmically and automatically calculated by search engines - the search robot collects data from the page, web document and uses a formula to determine whether the page is relevant or not.

    Such “technical relevance” of a page is very easy to manipulate by creating doorways or sites for search engine spam, so search algorithms include other factors for ranking site pages in search: relevance of information and frequency of site updates, trust, behavioral and social factors.

    If we are talking about search relevance, then this is an indicator of how much the displayed search results will satisfy the user. The ideal option is when the results page in the form of 10 results meets the user's need for information by providing relevant links to sites. For a number of queries, the search results contain links to a variety of results: encyclopedias, question and answer services, articles and official sites, pictures, videos, as well as direct inclusion of answers (tips) to user questions in the search results.

    An example of a search engine's response to a user's question - in this case, the user does not even have to go to the sites, the entire necessary information he receives “first-hand” (from the search engine):

    Subsequently, manual labor is also used to assess the quality of the search - paid assessors, outsourced assessors through the Yandex.Toloka service. In addition, search results include elements for direct interaction with the user, so that he can evaluate the quality of the search himself or complain about an irrelevant site in the search results. In Yandex, you can “complain” about a result and it looks like this (you can file a complaint about an irrelevant result in the search results or about an irrelevant search result):

    Well, the time has not yet come for a mass inducement of users to clear the search results themselves.

    Now about the links. A relevant link is a link whose anchor matches the content on the page or the content of both pages is semantically and thematically related. If a link leads from a site with a similar topic, and the text is weakly relevant, then the link is simply called a thematic link. Such links can be anchor or non-anchor. Best links- relevant, leading from thematic sites. It’s very good if users still click on them.

    How to determine the relevance of a website page in search

    To determine relevance, use advanced search or query language. You can enter the site operator into the search the old-fashioned way:

    This is what happens in search when the site has not yet published an article about relevance. After some time, the text you are reading will become relevant this request. Why will this happen? Because the total relevance indicator of this page calculated by the PS will be higher than that of others (the articles indicated in the screenshots are irrelevant, I think this is obvious).

    You can also do “relevance analysis” in SEO services like megaindex, but these are redundant actions if you initially work on a prepared semantic core and create a new site.

    How to improve the relevance of a website page in search

    As you remember, we can work on content, internal and external links. Do not neglect any of the ways to increase this parameter. Relatively speaking, different pages may meet three relevance parameters, but the most relevant will be the one that meets three at once. And the webmaster’s task is to build the site in such a way that the search engine uniquely identifies all pages. The recommendations are simple:

    1. Work with text relevance

    There's no magic here. First, improve the page if it does not sufficiently match the request or group of requests: add content (text, video, photo); or rework the content, because the articles are becoming outdated, and some are poorly written from the start.

    Secondly, start working on the site by drawing up a semantic core - so that the pages published on the site are written for groups of similar mid-frequency and low frequency queries. And at the same time they were not duplicated and did not confuse the search robot!

    Thirdly, this is not said out loud, but “correct comments” on an article are also relevant text, especially if it significantly complements the article. For example this:

    This is also content and it is also on the web page, because search engines know what users write and read comments.

    Other recipes for improving relevance in general view come down to banal internal optimization: correct CNC links, correct optimization of Title, H1, H2 headings, general text semantics (LSI), working with snippets, using content, citations and footnotes.

    According to the semantics of the text typical mistakes such: occurrences of the keyword (exact or morphological forms) are either too few or too many. This applies to paragraph and text (post) boundaries.

    2. Work with in-link relevance

    If the internal (text) relevance of the page does not reach the point of being placed in the top in the eyes of the search engine, then you can give it additional weight with internal links. By linking pages to each other, we show PS - look at the relevant page for a given anchor (context in a paragraph).

    After some time, the search robot crawls and calculates the relevance for the page in a new way, taking into account internal links. And the relevance of the landing page increased.

    3. Work with external link relevance.

    In short, we look at who is linking to us and where, and in some cases we ask you to correct the links. In the case of purchased links, we order the anchors we need (in the case of articles, relevant text). We leave thematic comments on other blogs, placing in it a non-anchor link to our site in the appropriate context.

    Special magic is when users themselves share links to your site (or page), as a rule, this is not done inappropriately, but always occurs in a certain context of discussion, which means such a link is quite relevant. So write quality content, make sites so useful that users themselves bookmark the pages and then share these links.

    As a result

    The rule for strengthening relevance is this: in the first place is text and textual relevance, in second place is intra-site relevance and internal linking, in third place are external links that increase relevance in comparison with the pages of competing sites.

    And do not forget that the relevance of the page in the eyes of the PS is not enough for the user to be highly convertible and to perform the target action on your website. For example, in commerce it often happens that a page has good relevance and traffic, but low conversion - because it does not meet the user's expectations. What is the point in such users who come and leave with nothing? This won’t work, we need work on the site.

    Good afternoon, friends! Today is another post about the most important concepts search engine promotion for bloggers and beginner SEOs. What is site page relevance? is the topic of this article, from which you will learn the definition of relevance, its main components and how it is evaluated by search engines. Let me point out that this is enough important question, on which the entire process of website ranking is based when preparing documents as a result of issuance. From correct understanding this term depends on the successful SEO promotion Your site in search engines. Therefore, I suggest you take a look at our dictionary and get the necessary information on the central ranking element.

    Determining Relevance

    What does relevance mean? This is a process in which the similarity of the obtained result with the desired one is checked. This term is used in modern search engines and refers to the correspondence of the information received to the search query asked by the user. According to the definition, when a Yandex or Google visitor types a question, the search engine tries to evaluate various documents from its index and select the most suitable ones for an answer. Thus, the system calculates a match measure—the degree of match between the document and the search query. Accordingly, if they coincide, then the value of the measure is the largest (maximum), and if not, it is equal to zero.

    The effectiveness of any search engine is judged by the degree of relevance of documents in search results. If a user receives an answer to his request that is absolutely inappropriate for him, then there is a high probability that he will no longer use such a resource. Therefore, the selection of the most relevant documents for search results is the main task of the search engine. This affects both the popularity of the search engine and its profits.

    How relevant a document is on the Internet is determined by a special search algorithm. Yandex has one, Google has another, but general scheme his work is the same. Also, other search engines have their own definition of relevance, but it has common roots.

    Search algorithm

    These are special mathematical expressions and formulas by which search engines select various sites in their search results. Each of these web resources contains one most relevant document, which contains the answer to the user's search query. The principle of operation of the algorithm is very simple: first, all website pages containing the searched query are selected, and then systematic screening occurs - sites without clear information for the user or unauthorized due to the use of prohibited optimization methods are cut off ( black seo- cloaking, doorways, etc.). Selected pages are analyzed based on document content and a decision is made on how relevant they are to the search query. And depending on the degree of compliance, each document is assigned its own number in the search results. The smaller it is, the faster the search engine user will see it.

    What is site page relevance?

    Typically, each web resource has several pages that contain the answer to a search engine user's query. The search algorithm’s task is to select the most relevant document (website page or blog post). This issue is resolved as follows. The relevance of each page is influenced by a large number of factors. Therefore, to assess the compliance of a web resource document with a search engine user’s request, a total indicator is calculated. Accordingly, the page with the maximum total indicator will be the most suitable and it is this page that the search engine will show to the user. For example, in the following picture you can see a selection from the Yandex search engine of the most relevant pages of my blog for the query “what is site visibility”. The very first document has the maximum total score.

    What determines the relevance of a page? Each page of any website is an entire independent element of the Internet. It contains its own content. Basically it is unique, with its own text, pictures, etc. This element interacts with other pages - it provides various links to other pages of your site or to other web resources. And, if possible, it also receives various external links. Therefore, we can say that the relevance of a page for a specific search query is influenced by both internal and external parameters. Plus, the authority of this page is also important. Let's take a closer look at each component.

    Internal

    Internal or otherwise, textual relevance is the degree to which the internal criteria of a web resource page meet the requirements of search engines. If, in a search query, the words on the page match its form and are the most commonly used, then this document will be considered the most relevant. In other words, we can say this - the closer to the ideal (each system has its own number) the ratio of the number of occurrences of a query to the total number of all words in the text, the higher the document will appear in the search results. Let us list the main parameters by which it is assessed.

    • Search query frequency in text . This refers to the volume and number of repetitions key query on the site page. The closer to ideal option(I repeat, each search engine has its own number), the better in terms of assessing the relevance of the document.
    • Placement of words in headings . If the search query is in the title of the page, then the likelihood of a better rating for this document increases compared to other pages of the web resource. That is title tag should contain a key query in your sentence, which will significantly increase the relevance of the page.
    • Proximity to the top of the page . Search robot when crawling new page follows the code from the very beginning. Therefore, the sooner he encounters a search query on it, the better it is for assessing relevance. Therefore, keywords must be written as early as possible in a website article or blog post.
    • Availability keywords in special places in the document . First of all, this refers to the presence of search queries in the title of the article (usually in the h1 tag) and in the subheadings (in the h2 tag - not as important as in h1, but the presence is welcome). Plus the design of search queries in the text in special tags (strong, etc.). And of course, the presence of keywords in the Description (page description) and Keywords meta tags.
    • Availability of keyword synonyms . Very important element. The presence of synonyms in the page content tells search engines that this document really relates to the topic of the search query, which means it will be most useful to the user. In this way, search engines clean the search results - they do not take into account pages that contain keywords as an addition to other topics and documents that are platforms for the majority of automated systems promotions (RooKee, SeoPult, etc.)

    External (reference)

    This component is based on the principle of link popularity of a website page. Here the number of links with their texts (anchors) is taken into account. The more links, the better the link relevance. And if the link text contains the user’s key query, the more significant the page becomes. Therefore, it is recommended to always use a search query in the text of links. And it doesn’t matter whether it’s an internal link or an external one—the anchor words matter. Also evaluated is the anchor text of the link, which contains external page another web resource. If it is not thematic for the search query, the significance of the link text will be less.

    Site authority

    • the number and quality of external links leading to the site. Important indicator, which shows the degree of importance of the site and its pages among other web resources. The higher the quality of the external links (keywords in the anchor and thematic surrounding text) and the more authoritative the donor site (the web resource that provides the external link), the more weight can go to the target page.
    • site content and content compliance search queries. How more pages, according to which the site is promoted, meet the requests of search engine users, the higher the authority of the site. Therefore, for any web resource that is promoted in search engines, two points are most important - the correct composition of the semantic core and the presence of unique optimized content. Even with a huge number of external links, it is impossible to long term promote website landing pages to the top 10 without good text and a competent set of keywords. Over time, the search engine pessimizes these documents from its results, reducing their relevance by an order of magnitude due to the lack of normal content, taking into account internal optimization.

    If a blogger is promoting his web resource in search engines, then the following tips and tricks for improving the relevance of landing pages may be useful to him:

    • Be sure to choose the right landing pages before promoting semantic core Your blog. If you promote landing pages for low-quality search queries, your blog will receive much less targeted visitors and larger number bounces, which will reduce the quality of these pages over time. Check all the parameters of keywords (frequency, word quality, its competitiveness) - this is the key to receiving quality traffic from search engines.
    • Check new pages in the search results for your key query. For example, you are promoting one page for a specific search query. But after indexing for this keyword, a completely different page appears in the search engine results. This means you need to check all the parameters by which the relevance of the landing page is considered. The following problem may be here - the document is poorly optimized and/or it receives fewer significant external and internal links - the weight of the page is very small compared to the one that appears in the search results.
    • Increase the authority of your blog. Over time, your site's ranking will increase and the relevance of the landing pages on which your blog is promoted will increase. This will all happen automatically as the popularity of your web resource grows. The VIC and TCI of your site rise, the positions of your site’s pages in Yandex increase (similarly in other search engines).

    This concludes my next educational program. Finally, a request to my readers - in the comments of this post, among other things, I would like to know your opinion on the following issues:

    1. How often do you check your landing pages for relevance?
    2. What do you think is missing in my website promotion lessons?
    3. What topic would you like to receive material on in one of the following lessons?

    Thank you, friends! See you!



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    Comment

    Relevance- (from English relevant - relevant to the matter) - in in a general sense it is the document's compliance with the user's expectations. Thus, search relevance is the degree to which a user is satisfied with the search results shown in response to his query. Ideally, the search results page should fully satisfy the user’s information needs in terms of its completeness and accuracy.

    The concept of site relevance has a synonym: relevance. In fact, this term means the same thing, but in a slightly narrower sense. What we mean here is how well the requested information matches the result obtained. Further in the text you will come across the words relevance and relevancy. Think of them as meaning identical to each other.

    According to the definition, when a Yandex or Google visitor types a question, the search engine tries to evaluate various documents from its index and select the most suitable ones for an answer. Thus, the system calculates a measure of correspondence - the degree of match between the document and the search query. Accordingly, if they coincide, then the value of the measure is the largest (maximum), and if not, it is equal to zero.

    The effectiveness of any search engine is judged by the degree of relevance of documents in search results. If a user receives an answer to his request that is absolutely inappropriate for him, then there is a high probability that he will no longer use such a resource. Therefore, the selection of the most relevant documents for its search results is the main task of the search engine. This affects both the popularity of the search engine and its profits.

    How relevant a document is on the Internet is determined by a special search algorithm. Yandex has one, Google has another, but the general scheme of its work is the same. Also, other search engines have their own definition of relevance, but it has common roots.

    For example, the Yandex search engine employs a group of specially trained people—assessors—who visit hundreds of sites every day for specific search queries. They evaluate usability, content, page relevance to the request, and other characteristics. After this, all data is entered into the Matrixnet self-learning algorithm. And based on this data, it automatically determines the relevance and usefulness for other similar sites. You can deceive a robot, but it’s unlikely to deceive a human (in particular, a PS employee)…

    Internal Relevance Criteria

    The most significant internal criterion of relevance is keywords, namely their frequency in the text. Search engines are able to calculate this parameter and, if a phrase is repeated frequently, consider it as key phrase. If, during a user request, the phrases found on the page correspond to its form and are key, that is, frequently used, the site will be considered relevant.

    For keywords great value their location also has an impact. First of all, this is their presence in various headings. If a user's query matches the title of a document, the search engine is more likely to rank that page more than others. Additional factors influencing the weight of keywords also include:

    • Close to the top of the page. The closer to the top of the page a keyword is, the more significant it is.
    • The presence of keywords in some places on the page. For example, in headings, meta tags, text design tags.
    • The proximity of keywords to each other. It matters when any phrase, especially a stable phrase, acts as a search query.
    • Availability of keyword synonyms. Search engines often pay attention to the presence of other forms of keywords in texts, indicating that the documents actually deal with a given topic.

    Key Search Relevance Types You Should Know About

    Formal- is the basis of search engine ranking principles. Through special algorithms, it compares the type of search queries and documents through the index of a special search engine. The person does not take part in this process. A fully automated and robotic system provides a ready-made solution.

    Pertinence- a unique state when the information needs of Internet users are fully satisfied. Every search engine strives to get closer to this state.

    External Relevance Criteria

    At the core external criteria Relevance is based on the principle of citation or reference popularity. This factor implies that the relevance of a site can be determined by its popularity on the Internet, that is, the number of other resources linking to the page in question. The higher their number, the greater the authoritative weight of the site, and, therefore, the information presented on it is of higher quality.

    Each of the search engines uses its own algorithm for determining the level of citations, but they all have a similar mechanism of action and are essentially a modification of the world’s first algorithm that takes into account the number of external links, PageRank, developed by American students Sergey Brin and Larry Page, who founded the Google search engine.

    In the Yandex system, an analogue of PageRank is the VIC - a weighted citation index, which was introduced in the spring of 2001. As stated by company representatives, VIC is calculated according to the same scheme as PageRank and is assigned to each page individually. Until 2002 The VIC could be viewed using Yandex Bar, but after attempts by optimizers to artificially increase the readings, its value was hidden. Now webmasters only have access to information about the TIC, which is used to sort resources in the Yandex catalog.

    Since autumn 2002 The Rambler system also began to use the popularity coefficient, which took into account not only the number of links, but also data on page traffic received from the Top100 counter.

    However, the very first system to apply such an algorithm is Aport, which has been using the Page Authority Index (PAI) since 1999. Unlike PageRank, CI takes into account only one most significant link from all pages of linking sites.

    The best resources for checking relevancy

    Fortunately, today there are many resources on the Internet that make it easy to check the level of relevance directly online. We list the three most popular of them:

    • Majento;
    • Megaindex;
    • PR-CY.ru.

    To get the necessary information on each of the listed sites, simply enter the address of the verification page and a keyword.

    There are no fundamental differences between the listed services. Regarding the relevancy check, everything happens approximately the same. The differences are noticeable only in general functionality, but this is no longer relevant to the topic of the article.

    What to do to increase relevance?

    Follow these seven tips and your articles will get as close as possible to the TOP of search results, and perhaps even be included in it:

    Place the main keyword query in the Title tag in a direct form without changes.

    The key query can also be inserted into the description tag. It is he who “sells” your article and is displayed in searches along with the title. Here keys are allowed in both direct and diluted occurrences.

    The same query needs to be inserted into the main header, but the exact occurrence is not necessary and even undesirable. Better diluted.

    It is also advisable to include the main request in the first paragraph. And as close as possible to the beginning. But this does not mean that the first sentence should begin with the main request. This is definitely not worth doing.

    Work with content. If it doesn't meet the meaning of the main search query, relevance can be forgotten. An illogically optimized article will only harm the site. The visitor will not receive necessary information and will very quickly go to another resource.

    Search engines love variety in articles. Therefore, lists, videos, pictures, tables, diagrams, graphs, as well as links to similar materials are welcome.

    The last point is the most difficult to implement, but one of the most effective in terms of increasing relevance. If other sites of similar topics link to the page, this will significantly increase its position in search results.

    Use this list as a checklist when optimizing any page and relevant content will quickly bring it to the first positions of search results. Additionally, I recommend looking at the SEO optimization checklist.

    Why does search sometimes return irrelevant pages?

    Black and gray SEO promotion is slowly but surely becoming a thing of the past. Despite this fact, promotion services are still in great demand online. A little more time will pass and the opportunities to artificially increase the relevance of site pages will disappear. There is very little meaning left in them even now.

    One of the main issues of relevance today lies in the imperfection of search robots and algorithms. Some factors of aggressive promotion are still getting away with by SEOs who behave unprofessionally. Unfortunately, sites with a minimum of quality content and a large number of “correct” links today are still in the TOP of most popular destinations. This trend is especially noticeable in the entertainment sector, which is not subject to strict control by search engines.

    Minimal competition

    In other words, out of 30 very bad resources, they select 10 that are not so terrible and send them to the TOP. Search robots believe that it is better to find at least some page on a topic than to tell the visitor that the result is unknown. As a result, in topics with low competition, the first search results are occupied even by those sites where only a few words from the desired queries are present.

    If a specialist undertakes to promote a website in a topic with low competition, the chances of bringing the resource to the TOP will be very, very high. More details about the competitiveness of requests.

    Relevant conclusion

    Always disclose in the text the topic of the main key query for which you are optimizing the article. Make content, headings, sub-paragraphs and short paragraphs. Even a reader who has visited the site for the first time can easily understand the simple and understandable structure. Even if the visitor’s stay on the resource is only 2-3 minutes, this becomes a plus for the site. In a few minutes it is quite possible to provide the visitor with minimum required information of interest to him.

    When a user wants to find information on the Internet, he types search bar specific question and expects relevant results from the system. But very often this does not happen. It turns out that the page was not relevant. So what is relevance?

    Concept of relevance

    Relevance (relevant - relevant) - compliance of the text with the required expectations. In other words, this is the correspondence between what was sought and what was found. This means that the relevant page is exactly what the user expected to see when making a request in the search bar. This term began to be used in modern systems.

    But how does the search engine determine this relevance, how does it decide which page to offer at the right time? This is why search relevance exists, which each system calculates using different algorithms. So what is search relevance?

    When a user types his query into Google or Yandex, the system evaluates the documents from its index and selects those that best match the query. Visitors evaluate the search engine's performance based on relevance. If the user is not satisfied with the response received, he may no longer want to use the system.

    Therefore, the most important task for search engines is to find the most relevant documents. This affects not only the popularity of the resource, but also its profit.

    Types of search relevance

    • Formal. Using an algorithm, a query is compared with the type of document in a search engine. IN this method relevance is calculated without human intervention. Everything happens with the help of a search robot, according to a given formula, based on the entered data.
    • Meaningful. This type is used in search engines, but to assess the quality of the search. Specialists, called assessors, evaluate search results by comparing them with the query.
    • Pertinent. All search resources strive for this type of search. IN in this case the information completely satisfies the user.

    Any search engine works according to its own algorithm and each system has its own trick, but the principle is very similar for all:

    1. First, check how often it occurs asked question or phrase on selected pages.
    2. The space between words is being checked.
    3. The number of links per page is checked.
    4. It takes into account what text the phrase is typed in.
    5. The age of the site is checked.

    The amount of information on the web is constantly increasing, so increasing relevance is a very important task for every search engine.

    All resources have many pages that match the query requirements. The search engine algorithm will suggest the most relevant page. So what is page relevance?

    How is a relevant page determined?

    A website page is its own world on the Internet. This content contains text, images. It echoes many other pages. Based on this, it turns out that relevance is influenced by both the content of the text and interaction with other sites.


    Internal (text content) relevance - compliance of the text content with the requirements of the search system. When the most frequently used phrases on the page are entered when entering a query, it will be relevant. Each search engine has its own set of ratios of occurrences of the required phrase to the number of words in the written article. The closer this number is to the system number, the higher the text will appear on the search page.

    Basic Page Rating Options

    • Despite the fact that each search system has its own algorithm, the search principle is similar for all. Internal component of relevance assessment:
    • Frequency of use of the desired phrase in the written text. If the total number of occurrences of the desired phrase is close to installed by the system, the higher the relevance of the page.
    • Location the right words in headings and subheadings. When the required phrase is located in the title of the text, the level of evaluation of the text increases.
    • The necessary phrases are at the beginning of the page. The system starts the search from the beginning of the page, so the faster a given query is encountered, the higher the relevance.
    • Required words in in the right places. Having the right words in your headings and subheadings increases relevancy.
    • Presence of synonyms. This is an important part of the document. If the text contains synonyms of the required words, the system will consider such text useful and related to the given topic.

    • The number of links that lead to the site. This indicates the importance of the site among other resources.
    • Compliance of the site with the required words. How more quantity pages that match the required phrases, the higher the authority.

    Of course, there are other search engine techniques by which they consider one page relevant and another not. There are quite a lot of them and disclosing them is not in the interests of systems that want to improve relevance for their users.

    • But no matter how search systems are improved, we should not forget a few important things:
    • The result obtained depends not only on the system, but also on how successfully and accurately the request was formulated and the necessary words were specified.
    • Each person has his own outlook, his own perception of life and the content of the same information will be different for each person.

    All search engines:

    • Own tasks.
    • Various financial options.
    • Employees with their own worldview and horizons, all of different ages and different ways of thinking.

    After studying the article in detail, you will find the answer to the question of what relevance is.

    Relevance — a parameter indicating how well the search engine result matches the requirements of the user who entered the query.

    Relevance is calculated by search engine algorithms and is the ratio of the number of keywords on a resource page to the total number of words. Each page is assigned its own percentage of occurrences of keywords in the text. You should stick to the golden mean: no large number will go unnoticed by search engines, and a large number will be regarded as spam and then a filter will be applied.

    Characteristic

    With the active development of the Internet and the rapid increase in sites, the question arose about the quality of search results. In response, search engines have implemented the principle of query relevance, processing sites and presenting the most suitable options to users.

    At the first stage, the relevance of pages was built on the basis of meta tags, keyword density, frequency of keywords in headings, methods of content design, etc. With the advent of doorways that meet these criteria, it was necessary to implement external factors relevance.

    Below is a formula characterizing the relevance criteria: R=PR*(T+L).

    R - query relevance,

    T - level of text relevance, to what extent internal criteria meet the requirements of search engines,

    L - level of link relevance, how much the texts of incoming links correspond to the search query,

    PR - resource rank, does not depend on the request.

    This formula is only a conditional justification for the effectiveness of ranking algorithms, which demonstrates a complete picture of the relevance criteria.

    External Relevance Criteria

    External criteria of relevance are represented by the degree of citation (reference popularity). The relevance of a site depends on how many sites link to it. The more linking sites, the higher the authority of the site, and the better its content.

    Search engines have their own relevance algorithms, but they all work on the same principles, in fact, they are a processed and improved version of the very first algorithm (PR), developed by the founders of Google, which characterized only the number of inbound links.

    The very first relevance algorithm is considered to be the PI (page authority indicator) of Aport, developed in 1999. The PI determined only the most significant external link.

    Yandex has its own citation index, VIC, which was released in the spring of 2001. A VIC is assigned to each page. After 2002 due to webmasters' manipulations with the VIC, the citation index was closed to public access. Previously, such a service was provided in Yandex. Bare. Today you can only view the TCI, the citation index for sites in the Yandex catalog.

    In the fall of 2002 the popularity index appeared on Rambler; in addition to links, it also determined the frequency of visits to site pages, which could be found out from the Top 100 counter.

    Internal ranking criteria

    The most important criterion is the frequency of the keyword on the page. Search engines are able to highlight a keyword in the text. A site is relevant provided that the user's request matches the keyword and its form on the site.

    Keyword position also affects a site's relevance, especially if the keyword is in the title. And if the query turns out to be identical to the title of the text, then the search engine will certainly rank this page above others.

    Internal relevance criteria include:

    1. The position of the keyword on the page, for example in meta tags.
    2. Keyword proximity. An important role can be played by the situation when the request is equated to a set phrase.
    3. Position at the beginning of the page. The higher a keyword ranks, the more weight it has.
    4. Keyword synonyms. The more forms and synonyms of keywords in the text, the better: this indicates that the topic of the site corresponds to the initially specified topic.
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