Google's Smith ALGORITHM AND SEO

Google’s Smith algorithm and SEO

Siamese Multi-depth Transformer-based Hierarchical Encoder

Natural language processing is defined as “Natural Language Processing, or NLP for short, is broadly defined as the automatic manipulation of natural language, like speech and text, by software.” Reference

Google Smith algorithm and SEO is an investigating blog, so that bloggers can benefit with better SEO compliance

Search engines scan through several million texts and write ups. It is humanly impossible to do this. Therefore, this task is with the help of computers. It is artificial intelligence, which enables machine learning possible. As new technology is refined with more and more capabilities, new process of ascertaining written texts’ quality in terms of relevance, meaning of words (semantics) Algorithms are used.

Algorithms determine the Search Engine Ranking Pages. It is a continuous process, meaning updated frequently. Because of this, browsers get absolutely useful and relevant high quality results. As Google, is striving constantly to filter contents which conform to its quality standards.

Some of the most notable Google core updates include:

  • Penguin
  • Panda
  • Fred
  • Hummingbird
  • Pigeon
  • BERT
  • Rankbrain
  • Medic
  • Possum
  • Mobilegeddon
  • Freshness

” Google does not generally say what specific algorithms it is using. Although the researchers say that this algorithm outperforms BERT, until Google formally states that the SMITH algorithm is in use to understand passages within web pages, it is purely speculative to say whether or not it is in use.Search Engine Journal

Merits of Smith algorithm

Before we proceed to find out about Smith algorithm it is necessary to understand its predecessor BERT .

Bert is ”  neural network-based technique for natural language processing (NLP) pre-training. BERT stands for Bidirectional Encoder Representations from Transformers. “

Operational effectiveness of Bert is limited to single sentence. Interpreting semantic content in the context of whole paragraph or content was not acheived.

Now comes SMITH algorithm with robust capacity and can perform better than BERT. Whereas, SMITH tries to understand sentences within documents.

How to adopt to new challenge?

In the above scenario we as bloggers aiming to rank high in search engines have to study our SEO efforts.

  1. Make your content highly relevant to the topic you have chosen.
  2. Make each of your sentence more logical to the core idea.
  3. Weigh your words for their meaning objectively
  4. Evaluate your content as a whole

If we keep these point in mind then we are sure to rank higher.

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About the Author: Rangan

Hi I am J.V.Rangan , basically a Mechanical Engineer and had long career as Machinery Manufacturer and Project Manager. My mission to help entrepreneurs and young start ups succeed in their venture. Passion for writing blogging and Digital Marketing my new call.Giving my best Blogs and Quality Contents.Worked as content development freelancer.

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