Natural Language Query Based Search System
This patent introduces an innovative approach to making search systems more intuitive and user-friendly by allowing users to search using natural language questions rather than traditional keyword-based queries.
Traditional search engines often require users to think in terms of keywords and boolean operators, which can be unintuitive and may not capture the true intent of their search. Our system bridges this gap by enabling users to simply ask questions in their own words, just as they would ask another person.
The system works by:
- Analyzing the natural language query to understand the user’s intent
- Breaking down complex questions into searchable components
- Mapping these components to relevant search parameters
- Retrieving and ranking results based on how well they answer the original question
- Presenting results in a format that directly addresses the user’s query
For example, instead of searching with keywords like “restaurants Italian NYC price range,” users can simply ask “What are some affordable Italian restaurants in New York City?” The system understands the context, intent, and various aspects of the query to provide more relevant results.
This technology has applications across various domains, from e-commerce and enterprise search to educational platforms and customer support systems. It makes information retrieval more accessible to users regardless of their technical expertise or familiarity with traditional search techniques.
