🔍 Multi Stage Query Processing

This patent outlines a method for improving search engines by analyzing and refining user queries in multiple stages.

📌 Key Components of the Process

• 🔹 Context of Words: Understanding how words relate to each other in a query.
  ✅ Example:
  • Query: "Apple phone price"
  • Context: The system recognizes "Apple" refers to the brand, not the fruit, based on the word "phone."
• 🔹 Stop Words Removal: Removing common words like "and," "the," or "is" that don’t impact search results.
  ✅ Example:
  • Original query: "What is the best restaurant near me?"
  • After removal: "best restaurant near me"
• 🔹 Stemming Concrete Words: Simplifying words to their root form.
  ✅ Example:
  • "running" → "run", "better" → "good"
  • Query: "How to improve running speed?" → "improve run speed"
• 🔹 Expanding with Synonyms & Co-occurrence:
  • Synonyms: Adding words with the same meaning.
    ✅ Example: "Car" → "vehicle," "automobile."
  • Co-occurrence: Including words that frequently appear together.
    ✅ Example: "Coffee" → "espresso," "caffeine," "brew."

📌 Criteria Used in Processing

• 🔹 Absent Queries: Handling queries missing key terms but still returning relevant results.
  ✅ Example: "Affordable Paris flights" might still show results for "cheap flights to France."
• 🔹 Boolean Logic: Using operators like AND/OR/NOT to refine searches.
• 🔹 Term Weights: Prioritizing certain words.
  ✅ Example: "urgent plumber near me" → "urgent" gets higher priority.
• 🔹 Document Popularity: Ranking results based on how often a page is referenced.
• 🔹 Word Proximity: Checking how close keywords are in a document.
  ✅ Example: "climate change effects" vs. "effects of climate change."
• 🔹 Word Adjacency: Ensuring exact phrase matches.
  ✅ Example: "black dress" vs. "dress black."

📌 Technologies Used

• 🔹 VIPS (Visual-based Page Segmentation): Analyzes a webpage’s layout (headers, footers, images) to prioritize content.
  ✅ Example: Extracting the main article text from a cluttered blog page.
• 🔹 Web Page Layout: Uses HTML structure to understand content hierarchy.
  ✅ Example: Recognizing titles, subtitles, and body text to rank relevant sections.