Semantic Search is an advanced technique that focuses on understanding the meaning behind a user’s query rather than just matching keywords. Instead of looking for exact words, it tries to understand the context, intent, and relationships between words to deliver more accurate and relevant results.
What is Semantic Search?
It uses technologies like Natural Language Processing (NLP), Artificial Intelligence (AI), and machine learning to analyze:
- The meaning of the words in the query.
- The user’s intent (what they are looking for).
- The context of the search (past searches, location, trends).
Example: If you search “best places to eat near me,”
- Traditional search might look for web pages that contain those exact words.
- Semantic search will understand that you are looking for restaurant recommendations based on your location and show relevant results, even if those pages don’t use the exact phrase “places to eat near me.”
How is Semantic Search Used in Social Media?
- To improve content discoverability.
- To enhance SEO strategies.
- For AI-driven recommendations.
- Google, YouTube, and social media algorithms.
In summary, Semantic Search makes search engines smarter by focusing on meaning and context rather than just keywords, helping users get the most relevant and helpful information.
Recommended Readings:
