How It Works:
Converting travel options to vectors: Hotels, activities, and flights are converted into vectors that encapsulate important features like location, amenities, price range, and user ratings.
Generating personalized itineraries: The AI system generates an itinerary by querying the vector database for the most relevant activities, hotels, and destinations based on the user’s historical preferences. It goes myanmar rcs data beyond just matching categories; it understands the semantic meaning of the user’s request. For example, a user who enjoys luxury experiences in Europe might receive an itinerary that combines upscale hotels, fine dining, and exclusive experiences.
Real-time personalization: As the user engages with the itinerary (e.g., bookmarking certain activities or hotels), the system updates the recommendations and suggests alternatives based on new interactions.
This process can lead to unique and highly tailored travel experiences for each user.
Traditional travel search engines are limited by keyword matching and filtering options. However, with vector databases, AI can use semantic search to better understand user queries and provide more relevant results. For example, instead of just searching for hotels with specific keywords like “family-friendly,” the AI can match the semantic meaning behind the user’s intent, ensuring that the results better reflect what the user is actually looking for.