Concept Network for AI Destination Search
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Solution Overview
Problem
Current web-based systems for travel and real-estate related searches are inefficient due to siloed information and limited dynamic searching capabilities, requiring users to manually navigate and correlate data across multiple sites, which is time-consuming and lacks insight into user preferences.
Innovation Solution
The implementation of a chat-driven artificial intelligence system with a concept network that uses natural language interactions to provide personalized and insightful content, dynamically updating and refining search results based on user intents and historical data, allowing for synchronized presentation of relevant information without the need to navigate multiple sites.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users manually navigate and correlate data across multiple web sites, then they can obtain comprehensive information, but the process becomes time-consuming and complex
Solution Approach 1:
The patent combines multiple data sources and web sites into a single integrated search interface. The system aggregates travel service data from numerous independent providers and presents them together, allowing users to obtain comprehensive information without manually navigating multiple sites. This merging of dispersed information sources resolves the contradiction by providing complete data access while eliminating the time-consuming manual navigation process.
Solution Approach 2:
The patent introduces an intermediary search system that acts as a mediator between users and multiple data sources. This intermediary automatically correlates and integrates data from various web sites, presenting unified search results without requiring users to manually track and correlate information across different platforms. The intermediary handles the complex data correlation task, freeing users from time-consuming manual processes while maintaining comprehensive information access.
2Adaptability or versatility
If web sites provide static searching interfaces, then the system structure is simple, but the searching capability is limited and lacks adaptability
Solution Approach 1:
The patent transforms static search interfaces into dynamic, adaptive systems. The search interface automatically adjusts based on user interactions, refining results in real-time without requiring complex manual configuration. The system dynamically correlates data from multiple sources and adapts its search capabilities based on the specific query context, providing versatile searching while maintaining interface simplicity through automated adaptation rather than user complexity.
Solution Approach 2:
The patent implements parameter-driven search capabilities that automatically adjust search parameters based on user input and context. Rather than requiring users to navigate complex interface options, the system changes search parameters dynamically based on the query and data availability, enhancing adaptability while keeping the interface simple. The system automatically modifies search criteria, data sources, and correlation methods based on the specific search context.
3Loss of information
If users manually correlate data across web sites, then they can obtain detailed information, but the process lacks insight into user preferences
Solution Approach 1:
The patent implements feedback mechanisms that analyze user interactions with search results to understand and adapt to user preferences. The system automatically processes user behavior data, such as which results are clicked or viewed, and uses this feedback to refine subsequent search results and presentations. This feedback loop provides insight into user preferences without requiring manual analysis, while maintaining detailed information access through automated preference-based filtering and ranking.
Data Source
AI summary
Systems and methods for concept based searching or recommendation are disclosed. More particularly, embodiments of a concept based approach to the search and analysis of data, including the creation, update or use of concept networks in searching and analyzing data are disclosed, including embodiments of the usage of such concept networks in artificial intelligence systems that are capable of utilizing concepts expressed by users to return or evaluate associated destinations.