Coder Legion - Recent posts tagged random

Relevant Backlinks vs Random Backlinks: Why Context Matters in SEO

Thu, 10 Sep 2026 11:52:19 +0000

When building backlinks, it's tempting to think that every link pointing to a website is automatically useful.

It isn't.

A link from a website about a closely related subject can fit naturally into an article and help readers find additional information. A link from a completely unrelated page may be much harder to justify.

This is why relevance should be part of every backlink evaluation.

The idea doesn't mean that every backlink in a website's profile must come from the exact same niche. Real websites naturally receive links from different industries, publications, organizations, communities and audiences.

The more useful question is whether a particular link has a logical relationship with the content surrounding it.

Google's current spam policies are clear that links created primarily to manipulate search rankings can be considered link spam. The same policies also warn against low-value content created mainly to influence ranking and against excessive use of manipulative links.

That makes the context behind a backlink worth examining.

What is a relevant backlink?

A relevant backlink comes from a page or website where the subject has a meaningful connection with the page being linked to.

For example, an article about:

“How Small Businesses Can Improve Their Online Visibility”

could reasonably reference a detailed resource about off-page SEO.

Likewise, an article about:

“Choosing Software for a Growing Online Store”

might naturally reference a useful resource about e-commerce technology.

The relationship doesn't have to be exact.

It just needs to make sense.

What is a random backlink?

A random backlink is generally a link where the connection between the source content and destination is weak, unclear or nonexistent.

Consider a gardening article that suddenly links to an unrelated SEO service page.

A reader may reasonably ask:

“Why is this link here?”

That is the problem.

Even if the source website has attractive third-party SEO metrics, the lack of meaningful context can make the placement a poor fit.

The domain score hasn't changed.

The URL hasn't changed.

The surrounding relevance has.

Relevance is about the page, not just the domain

This is an important distinction.

A website may cover several subjects.

Imagine a general business publication with sections for:

Finance
Technology
Marketing
Entrepreneurship
Management

A backlink from a marketing article to an SEO resource may be highly relevant even though the overall publication isn't exclusively about SEO.

So when evaluating a placement, don't stop at:

“Is this website relevant?”

Also ask:

“Is this particular article relevant?”

The second question is often more useful.

Why contextual links make more sense

A contextual backlink appears within content where the reference has a clear purpose.

For example:

Businesses comparing different off-page strategies may want to review a detailed guide to professional guest posting.

The link has a reason to exist.

It gives the reader another resource.

This is different from a page where links are added simply because there is an opportunity to place them.

Context helps the reader understand:

Why the source is being referenced
What they will find after clicking
How the destination relates to the topic

Google's documentation on crawlable links also recommends descriptive link text that gives users and Google context about the destination.

Relevant doesn't mean identical

A common misunderstanding is that SEO relevance requires a perfect niche match.

It doesn't.

Consider a cybersecurity company.

Potentially relevant publications could include:

Technology
Business
IT management
Privacy
Compliance
Startups
Small-business operations

The subjects overlap.

A publication doesn't need to use the exact same keyword as the target website for the relationship to be legitimate.

In fact, forcing a link into an article simply because the keyword appears can produce unnatural writing.

How to measure backlink relevance

Use a simple four-question test.

Does the website discuss related subjects?

Look through the site's categories and recent content.

Does the specific page relate to the target?

Read the article rather than evaluating only the homepage.

Does the destination add something useful?

Click the target page yourself.

Does it provide additional information that a reader might actually need?

Does the link make sense in the sentence?

Read the entire paragraph.

If the link were removed, would you naturally expect a reference to another resource there?

If the answer is yes, the placement deserves more consideration.

Relevant backlinks vs random backlinks

The difference becomes easier to see when you compare them directly.

Factor	Relevant Backlink	Random Backlink
Topic connection	Clear	Weak or absent
Reader value	Easier to justify	Often unclear
Context	Natural	Frequently forced
Anchor text	Descriptive and appropriate	Often keyword-driven
Placement	Fits the article	Added for the link
Campaign value	Can support topical visibility	May contribute little
Quality assessment	Page + site can be evaluated	Often metric-focused

This isn't a mathematical rule.

A random-looking link isn't automatically harmful, just as a relevant link isn't automatically valuable.

It simply gives you a better framework for evaluating opportunities.

Don't use DA or DR as a substitute for relevance

Third-party authority metrics are convenient because they give you a number.
But numbers can hide important details.
Suppose you have two opportunities:

Website A: DR 70, unrelated niche, article contains many commercial links.

Website B: DR 42, closely related subject, strong article, relevant readership.

Which deserves closer attention?

You can't answer from DR alone.
You need to inspect the actual opportunities.
That is why backlink research should combine quantitative signals with qualitative review.

Relevance also affects anchor text decisions

Anchor text should describe the destination naturally.
Suppose you're discussing content-based outreach.
The phrase guest posting services may fit naturally if the linked page genuinely explains that service.
In another article, using the brand name PAKSEO could be the better choice.
In another, a descriptive phrase may work better.
There is no need to force one exact-match keyword everywhere.

Google's spam policies specifically mention optimized anchor text in distributed articles, guest posts and similar content as an example of link spam when used to manipulate ranking signals.

The practical lesson is straightforward:

Choose the anchor based on the sentence and context, not the other way around.

Can unrelated backlinks ever be useful?

Yes.

A website can naturally attract links from unexpected sources.

For example, a company may be mentioned by:

A news publication
A local organization
A partner
A conference
A university resource
A customer
An industry association

The source doesn't always need to be a perfect topical match.

A real brand's backlink profile will naturally contain some variety.

The problem is when an entire campaign is built around links that have no sensible connection to the target website.

Relevance and referral traffic

There's another reason to care about relevance.

Relevant placements are more likely to attract relevant readers.

A person reading an article about SEO who clicks through to an SEO resource is potentially much more valuable than a random visitor arriving from an unrelated subject.

Referral traffic shouldn't be the only way to evaluate a backlink, but it can be a useful secondary benefit.

This gives you another practical test:

Would the publication's readers actually be interested in what I'm linking to?

If yes, the opportunity becomes more interesting.

How to plan a relevance-first backlink campaign

Instead of starting with:

“How many backlinks can I buy?”

start with:

“Which pages do I want to support, and what topics naturally connect to them?”

Then build the campaign around those connections.

Step 1: Choose priority pages

Select important service, product, category and educational pages.

Step 2: Build topic clusters

For each page, list subjects that naturally lead readers toward it.

Step 3: Find suitable publications

Look for websites covering those subjects.

Step 4: Review individual articles

Don't approve placements from domain metrics alone.

Step 5: Write for the publication

The article should fit the readers and editorial style of the host site.

Step 6: Add the reference naturally

Only link where it genuinely improves the discussion.

That approach creates a campaign based on relationships between topics, pages and audiences, rather than a spreadsheet of URLs.

How PAKSEO Can Help With Relevance-First Link Building

A useful SEO order should begin with information about the website.

Before contacting PAKSEO, prepare:

Your website:
Send the domain you want to promote.

Your niche:
Explain the industry and main subjects.

Priority URLs:
Identify the pages you want to support.

Target market:
Include country, language or audience where relevant.

Preferred topics:
Tell the team about subjects you want associated with the website.

Existing backlink work:
Mention previous campaigns when useful so new work can be planned with the existing profile in mind.

You can review PAKSEO's guest posting services as a starting point.

For a campaign request, send the website, niche, target pages and requirements to *Emails are not allowed*. That gives PAKSEO the information needed to discuss the appropriate type of campaign rather than starting with a generic backlink quantity.

For direct communication, clients can also reach PAKSEO on Telegram.

What makes this approach different?

The objective is not simply:

“Get links.”

It is:

“Find relevant opportunities where the content, publication, destination and audience make sense together.”

That difference can make campaign planning much more disciplined.

A service page, product page or informational guide should have a reason for being referenced.

The external article should have its own reason for existing.

And the reader should be able to understand why the link is there without having to think about SEO.

AEO: Are relevant backlinks better than random backlinks?

Generally, relevant backlinks are more useful to evaluate because the connection between the source, content and destination is clearer. Relevance should be considered alongside website quality, page context, editorial placement and the overall purpose of the link.

Does every backlink need to be from the same niche?

No.

A website can naturally receive links from many types of sources. The key question is whether the individual reference makes sense in its context.

Does Google only value backlinks from the exact same industry?

There is no rule saying every backlink must come from an identical niche.

Relevant context is more important than demanding a perfect category match.

Is a high-DA random backlink better than a relevant lower-DA backlink?

You cannot determine that from DA alone.

DA is a third-party metric. Evaluate relevance, page quality, context, audience and the reason for the link as well.

Should I build only contextual backlinks?

Contextual references can be useful when they genuinely belong within an article.

But a natural website's external profile can contain many kinds of legitimate links. The goal shouldn't be to force every link into one format.

Can relevant backlinks help with AEO?

Don't think of them as a special ranking trick for AI answers.

Google's current guidance says its generative AI search features continue to rely on foundational SEO practices, while its spam policies also apply to generative AI responses.

For AEO-oriented content, focus on answering questions clearly, providing useful information, demonstrating real expertise and making important facts easy to understand.

The simplest relevance test

Before approving a backlink, remove the SEO discussion from your mind and read the article as a normal person.

Then ask:

“Would this link be useful to me as a reader?”

If the answer is yes, the placement has a clear editorial reason.

That is a much stronger starting point than choosing links based on numbers alone.

How to calculate weights using gradient descent

Thu, 02 Jul 2026 02:57:30 +0000

Hello, I'm Ganesh. I'm building git-lrc, an AI code reviewer that runs on every commit. It is free, unlimited, and source-available on Github. Star git-lrc on GitHub to help more developers discover the project. Do give it a try and share your feedback for improving the product.

In the previous article, I explained the requirements for finding the weights of the last layer. Now let's see how we actually assign and optimize those weights using gradient descent.

Selecting Random Weights From a Normal Distribution

First, we assign random numbers (drawn from a normal distribution) to the weights w3 and w4.

Then we sum up both results along with the bias b3 = 0:

predicted = (output of top neuron × w3) + (output of bottom neuron × w4) + b3

This gives us our initial prediction, and we can plot the final graph:

With these initial random weights, the SSR (Sum of Squared Residuals) is calculated again to measure how far off our predictions are.

Gradient Descent Algorithm For Optimal Values

Now we need to find the derivative of SSR with respect to b3 so we can update it.

Recall our loss function:

SSR = Σ (observed − predicted)²

And our predicted value is:

predicted = (output of top neuron × w3) + (output of bottom neuron × w4) + b3

This is the same chain rule approach we used for backpropagation when optimizing only b3.

The key insight here is that the products of w3 and w4 with their respective neuron outputs are treated as constants for a single gradient calculation with respect to b3. Since only b3 is the variable in this expression, the derivative simplifies cleanly — just as we saw in the previous articles.

Conclusion

By assigning random weights from a normal distribution and then applying gradient descent with the chain rule, we can iteratively optimize each weight and bias in the network. The same process that worked for b3 alone now extends to w3 and w4 — we just need to carefully apply the chain rule at each step to compute the correct gradients.

Any feedback or contributors are welcome! It's online, source-available, and ready for anyone to use.

⭐ Star git-lrc on GitHub

How to Generate Random Numbers from 1 to 6 in C++

Mon, 24 Nov 2025 00:21:36 +0000

To "generate random numbers from 1 to 6 in C++":

Use the C++ built-in library stdlib.h in the header.
Use the rand() function to generate random numbers.
Use the srand() function to generate a different number at each execution.
Use the time.h library in the header with the srand() function to get different values at each execution, as the value will change relative to the time, which is a better option compared to just using srand().
Use For-loop to check that numbers are generated randomly from 1 to 6 at each iteration.
Check if random numbers are generated upon each execution from 1 to 6.

Code to Generate Random Number

Step 1: Code Editor: Open Your Code Editor

To get started with code writing, you need to open your favorite code editor. I prefer to use the OnlineGDB compiler.

Step 2: Write Code: Start Writing Code in C++

Let's code in the code editor step by step.

Write Necessary Headers

#include <iostream> //this library is used to handle input and output
#include <stdlib.h> //library for random number generator a mandatory library
#include <time.h> //used for generating random value relative to time 
using namespace std;

Begin with defining all the libraries that are required throughout the function implementation. I used the stdlib.h library to generate the random numbers. time.h is used for all the time-related functions, and it is required to state the current time so that randomness is ensured. You also have to define other basic libraries including iostream and std to deal with all the input-output related operations in C++.

Tip: You can also use cstdlib and ctime library instead of stdlib.h time.h, as it is more specific to C++.

Create diceRoll() Function

int diceRoll()
{
    srand(time(0)); //this built-in function ensures that upon each execution a random number is generated
    cout<<"Roll a Dice"<<endl;
    //loop for generation number from 1 to 6
    for(int i=0; i<6; i++)
    {
    int numbers = (rand() % 6) + 1; // this function ensures that the reminder should be displayed and will be from within the range
    cout<<" ";
    cout << numbers;
    }
    cout<<endl;
    return 0;
}

Now, moving towards the creation of the diceRoll() function, here, I have defined the function return type int to pass the random values to the main function. The first thing is to initialize the srand() function that ensures that on each execution different values are generated, but for the surety, the better approach is to use the time(0) function from time.h library that saves the current time relative to starting value i.e. seeding value and passes it as an argument to the srand(time(0)) function. It will surely give a sequence of random values upon each execution.
Then, I create a for-loop to iterate the dice faces within the range of 1 to 6. In each iteration, whenever a random number is generated, the number will take modules with 6 to not exceed the range and should start with the number 1 and then store the values in the numbers variable. These sequences of numbers will be returned to the Main function.

Note: Make sure to use modules (%) as it will help to generate the number within your defined range.

Create the Main Function

int main(){
    cout <<"The Random numbers Generated from 1 to 6"<<endl;
    cout<<diceRoll(); // call the diceroll function
    return 0;
}

In the end, the Main function is defined to print the sequence of random numbers by calling the diceRoll() function.

Step 3: Code Compilation: Compile the code of Step 2

After writing the code, you must compile the code so that the results will display. If you are with me, just click the run button in the OnlineGDB compiler to start the compilation.

Step 4: Random Number Generated: Output

Congratulations! You have created a simple diceroll game by using the built-in function. Is not this easy? Yes, that is why the use of built-in libraries makes the problem easy for developers.

Alternative Approach: Using Random Library

Curious, is there any other method to generate random numbers in C++? Yes, In C++ 11, there is one more library introduced that is also used to generate random numbers. As rand() library is the default choice of many developers who have been using C++ for decades, but there are some limitations, as it is bound to some specific range using rand_max. Therefore, the random library overcomes this limitation by providing a vast range of distribution with better quality of randomness.

To "generate random numbers from 1 to 6 using Random library in C++":

Use the C++ built-in library random in the header.
Use the random_device defined in the library to get the start number i.e. seed value for generating a random number.
Use the mt19937 engine to generate a random number using a uniform distribution.
Use the uniform_int_distribution to generate numbers uniformly and define the range from 1 to 6.
Return the generated values to the Main function to display the Random number.

Code Demonstration using Random Library

#include <iostream> //this library is used to handle input and output
#include <random> //library is needed to generate a random number
using namespace std;
//the function in which a random number is generated for a simple dice roll game
int dicerolled()
{
   random_device rd; //this random_device is used to obtain the seed random system
   mt19937 gen(rd()); //this is the distribution which is used for generating number
   uniform_int_distribution<int> dist(1,6); //this piece of code defines the distribution range from 1 to 6 using a uniform distribution
   return dist(gen); 
} 
int main(){
    cout <<"The Random numbers Generated from 1 to 6"<<endl;
    cout<<"This is the results after using Random Library "<<endl;
    cout<<dicerolled();
    return 0;
}

In the above code of the diceRoll() function, I first create the random_device with the name "rd" that is used to obtain the starting seed to initialize the random system. After that I used the mt19937 algorithm to generate the number by using uniform_int_distribution range from 1 to 6 this will generate the random number and return it to the main function.

Note: random_device is the standard generator defined by the library

Note: There are many other algorithms instead of mt19937 if you want to use other engines for number generator you can go through the reference at the end of the page.

Output: Using Random Library

FAQs Q: What is the difference between rand() and srand() function?
A: The rand() stands for a random number whereas the srand() stands for a seeding random number both are the function of the same library that is used to generate random values but the srand() is used for stating the initial value for the sequence and to make sure that different value is generated when the program runs. Q: Can I use the same library in C language instead of C++?
A: Yes, there is not much difference in both the language only the slight syntax difference otherwise you can use the library in the C program as well. Q: Can I find the maximum and minimum range of random numbers using the rand() library?
A: Yes, you can find the maximum range by using the function RAND_MAX which provides the maximum value range that is exactly the range for int datatype but for minimum, the range always starts from 0.0.

Wrapping Up

In the end, you got to know how easily you can generate random numbers, whether to use the rand() function or an updated library i.e. random. However, there are some reasons for using each library. The rand() function can used if you are making a small-scale application because of its range limitation but, if you are making a large-scale application where the quality cannot neglect, then random is the best option because the random library provides a robust and flexible way to generate the number. C++ developer needs to understand the use case of each library to create a more robust simulation application. Thanks for reading the guide. Happy Coding!