Category Based Navigation System for Personalized Data Sorting
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Solution Overview
Problem
Users face difficulty in navigating through vast amounts of data to find relevant information due to the lack of customizable category-based navigation systems, making it hard to efficiently search for specific recommendations across various data sources, including websites and social media platforms.
Innovation Solution
A category-based navigation system that obtains user data and entity data from multiple sources, determines relevant entities, and adjusts categorization and order of relevance based on user feedback, location data, and personal preferences, allowing users to efficiently navigate and find personalized recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users search through all available information from multiple websites and social media platforms, then they can find comprehensive recommendations, but it takes too much time and effort to sort through the massive amount of data
Solution Approach 1:
The patent segments the massive amount of data from multiple websites and social media platforms into organized categories (e.g., restaurants, hotels, entertainment). The system divides the unstructured data stream into manageable, categorized groups that can be efficiently navigated, allowing users to find comprehensive recommendations without sorting through all raw data manually.
Solution Approach 2:
The system performs preliminary actions by automatically collecting, categorizing, and organizing recommendation data from multiple sources before the user needs it. The category-based navigation structure is pre-established, and recommendations are pre-filtered and ranked, so users receive organized results immediately rather than having to process raw data themselves.
2Ease of operation
If a navigation system provides customized category-based navigation, then users can efficiently find relevant information, but the system complexity increases due to multiple data sources and customization requirements
Solution Approach 1:
The patent implements a universal category-based navigation system that handles multiple data sources (websites, social media platforms) through a single unified interface. The same categorization and navigation mechanisms work across different sources, reducing the need for source-specific handling logic and simplifying the overall system architecture while maintaining ease of operation.
Solution Approach 2:
The system introduces an intermediary layer (the category-based navigation system) that sits between the user and multiple data sources. This intermediary automatically manages the complexity of collecting and organizing data from various sources, presenting a simplified categorized view to users while handling the intricate data integration processes in the background.
3Adaptability or versatility
If the system collects data from multiple users and data sources, then it can provide personalized recommendations, but the amount of data to be processed increases significantly
Solution Approach 1:
The patent segments user data and recommendation data into distinct categories and user profiles. By organizing data by user and by category, the system can process and personalize recommendations for each user independently within their relevant categories, rather than processing all data for all users simultaneously, reducing overall processing complexity.
Solution Approach 2:
The system applies local quality by tailoring the navigation and recommendations to each user's specific preferences and behavior within relevant categories. Instead of processing all data uniformly for all users, the system focuses computational resources on processing data relevant to each user's demonstrated interests and category preferences, reducing unnecessary processing.
Data Source
AI summary
Embodiments of the invention relate to a category based navigation system obtaining user data related to a plurality of users relevant to the primary user. The method further comprises obtaining entity data associated with an entity in a plurality of entities. The category based navigation system then determines one or more entities relevant to the primary user, and determines an initial order of relevance of a set of relevant entities. The method further comprises categorizing and displaying the set of relevant entities with an initial categorization on a user device to the primary user. The category based navigation system may then obtain, via the user device, user feedback, adjust the initial categorization and initial order of relevance based on the user feedback; and display the adjusted categorization and adjusted order of relevance of the set of relevant entities to the primary user on the user device.