📌 Term Vectors

📝 Definition: A Term Vector is a representation of words within a specific contextual domain.

🔍 Purpose: It is essentially a word combination derived from a contextual domain that helps in query refinement.

🔗 Functionality:

• ✅ Groups Similar Terms – Term Vectors allow search engines to cluster similar words together.
• ✅ Context-Based Relevance – Words are linked based on how they appear in different contexts, improving search accuracy.

🚀 Impact:

Enhances search engine understanding, leading to better query results and improved SEO performance.

📌 Term Vectors – Examples

Here are some examples of how Term Vectors work in different contexts:

🔍 Example 1: Search Engine Context

• A user searches for "mobile phone" 📱.
  The search engine recognizes similar terms like "cell phone", "smartphone", and "handset" through Term Vectors.
  This improves search results by including related words.

🔍 Example 2: E-commerce Context

• A customer searches for "running shoes" 👟.
  Term Vectors identify related words like "sports shoes", "athletic footwear", and "sneakers".
  The search engine expands results to show all relevant products.