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What is semantic engineering?

Ever wondered why Facebook and other social media platforms often provide suggestions or recommendations based on your last search, your activity on the platform, and your interactions with content and users.

This is primarily done for user engagement and to enhance the user experience in several ways.


Semantic engineering plays a crucial role in enhancing the quality and relevance of suggestions and recommendations in various applications, including e-commerce, content platforms, and social media. Here's how semantic engineering is applied in this context.


Semantic engineering is a process of understanding the needs of it's consumer. It applies meaning to all the data searches that we make on a daily basis, It helps systems grasp what users mean and the context of what they do. This means systems can better figure out what consumers like. It creates detailed user profiles based on what they do. This helps systems suggest things that fit each user, and it create labels to organize content based on topics, feelings, and trends. This is key for matching content with what you want.


It improves search results by understanding what users are looking for and finding content that matches. These show how things are connected. For example, it can help suggest related items based on what you're looking at. that's why it creates a process of things like when and where you're using a service and what you've done before. This helps in suggesting things that fit the moment. It figures out how people feel in things like reviews or comments. This helps in suggesting things that match your mood. It uses smart computer programs to make better suggestions. For instance, it can understand what words mean in text, making suggestions more helpful and valuable.


In a nutshell, semantic engineering makes recommendations smarter by understanding what users like and the content they interact with, and it uses this knowledge to give more fitting and personalized suggestions. This makes using websites and apps more enjoyable.

So next time you bump into a new suggestion always remember that no one is spying on you. technology is fast evolving there is no way you can resist it's flow so better yet stay updated on the trends and innovation . XOXO.... till next blog.

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johnnyyes68
johnnyyes68
Nov 22, 2023

I've always been fascinated by how semantic engineering works behind the scenes. It's incredible how systems understand our actions and preferences, making our online experiences more personalized and enjoyable. It's like having a digital assistant catering to our needs! Thank you for this

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johnnyyes68
johnnyyes68
Nov 19, 2023

Your grasp of semantic engineering is impressive! Thank you for this article very helpful for us. It's spot-on in highlighting the techniques employed, like ontology development and machine learning, essential in refining data into actionable insights. The emphasis on bridging the gap between raw data and meaningful knowledge for improved decision-making aligns perfectly with the core purpose of semantic engineering. Great job! 🤗

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Rafael Lopez
Rafael Lopez
Nov 07, 2023

To be honest, I didn't know much about semantic engineering. What I know is only engineering lol, but after reading this article, I've gained a better understanding of its importance in enhancing user experiences and recommendations. Thanks for sharing this kind of article! 😊

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Arnold Singh
Arnold Singh
Oct 30, 2023

Thank you for sharing this insight into the role of semantic engineering in shaping our online experiences, especially on social media platforms. It's fascinating to see how technology can understand our needs, preferences, and context to provide more relevant content and suggestions. Looking forward to your next blog post! XOXO


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itsyowkris
itsyowkris
Oct 29, 2023

Wow! Thank you for that information! in addition to that social media platforms use your activity, searches, and interactions to suggest content, aiming to enhance user engagement. Semantic engineering, understanding user needs and interpreting search data, helps tailor suggestions. :)

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