📌 Word Adjacency

Word adjacency refers to how search engines consider the positions of words relative to each other when analyzing or modifying a search query. Instead of looking at words individually, systems that use word adjacency focus on how words appear together. This is crucial for:

✅ Key Applications

• 🔹 Phrase Searches: When you use quotation marks ("machine learning"), the search engine looks for the exact phrase. 🧐
• 🔹 Proximity Searches: The system ensures that words appear within a certain distance (e.g., within 5 words) to be considered a match. 🔄
• 🔹 Query Reformulation: Search engines use word adjacency to suggest better search queries by identifying commonly occurring word pairs (e.g., "data mining"). 💡

📄 Example

If you search "machine learning", a system that respects word adjacency will find documents where "machine" and "learning" appear together instead of just anywhere in the text. 📄

This technique improves accuracy in search results, making it easier to find relevant information! 🚀