Algorithm

Algorithm

An algorithm is a finite sequence of well-defined and ordered logical instructions and rules, created to perform a specific task or solve a problem. In the fields of mathematics and computer science , it functions like a recipe: from a set of data (the ingredients), the algorithm executes a step-by-step process to produce a consistent result or output (the final dish). Each instruction must be unambiguous and executable, ensuring that, for the same input, the result is always the same. This predictability and efficiency make algorithms the fundamental basis of all software, operating systems, and digital .

The essential characteristics of an algorithm include finiteness (it must terminate after a finite number of steps), definition (each step must be described unambiguously), and effectiveness (each instruction must be basic enough to be executed). Its function is to automate a reasoning process, allowing a machine to perform complex tasks quickly and on a large scale. From the simple sorting of a list of numbers to the compression of a video file, all actions performed by a computer are governed by one or more algorithms that dictate its behavior.

In the context Google 's algorithm " is perhaps the best-known and most impactful example, known as a search algorithm . However, it's crucial to understand that it's not a single monolithic algorithm, but rather an ranking composed of multiple algorithms and machine learning web , indexing content , and, most importantly, analyzing hundreds of ranking signals (such as content relevance, link page speed , and user experience query in a fraction of a second.

In short, an algorithm is the roadmap that instructs technology on how to act. The continuous evolution of search algorithms, with updates such as BERT for understanding and RankBrain for machine learning, demonstrates the relentless pursuit of smarter and more semantically advanced processes. Understanding what an algorithm is is therefore essential to understanding how information is filtered, classified, and delivered in the digital environment, influencing not only search results but also social networks, recommendation systems, and the artificial intelligence that shape our daily lives.


Sources:

Hello, I'm Alexander Rodrigues Silva, SEO specialist and author of the book "Semantic SEO: Semantic Workflow". I've worked in the digital world for over two decades, focusing on website optimization since 2009. My choices have led me to delve into the intersection between user experience and content marketing strategies, always with a focus on increasing organic traffic in the long term. My research and specialization focus on Semantic SEO, where I investigate and apply semantics and connected data to website optimization. It's a fascinating field that allows me to combine my background in advertising with library science. In my second degree, in Library and Information Science, I seek to expand my knowledge in Indexing, Classification, and Categorization of Information, seeing an intrinsic connection and great application of these concepts to SEO work. I have been researching and connecting Library Science tools (such as Domain Analysis, Controlled Vocabulary, Taxonomies, and Ontologies) with new Artificial Intelligence (AI) tools and Large-Scale Language Models (LLMs), exploring everything from Knowledge Graphs to the role of autonomous agents. In my role as an SEO consultant, I seek to bring a new perspective to optimization, integrating a long-term vision, content engineering, and the possibilities offered by artificial intelligence. For me, SEO work is a strategy that needs to be aligned with your business objectives, but it requires a deep understanding of how search engines work and an ability to understand search results.

Post comment

Semantic Blog
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognizing you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.