Item Categorization Using User-Defined List Titles
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Solution Overview
Problem
Existing item categorization systems fail to accurately identify relationships between user-created item lists and predefined keywords, leading to items being misclassified or overlooked due to lack of explicit metadata.
Innovation Solution
A networked environment with an item categorizing service that compares user-defined item list titles with a set of predefined keywords, assigns keyword tags to items based on matching terms, and dynamically creates categories by evaluating the frequency and relevance of these tags, allowing for more accurate categorization based on user-submitted data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional item categorization systems are used, then the system structure is simple, but the categorization accuracy is low due to lack of explicit metadata
Solution Approach 1:
The patent introduces user-created item lists as an intermediary mechanism between items and predefined categories. These user lists serve as a bridge that captures implicit relationships and enables accurate categorization without requiring complex metadata for each item individually.
Solution Approach 2:
The system creates a simplified representation of item relationships through user lists, which copy and encapsulate the essential categorization logic. This allows the system to infer item categories by analyzing patterns in user lists rather than processing complex item metadata directly.
2Measurement precision
If user-created item lists are used for categorization, then the categorization accuracy improves, but the data processing complexity increases
Solution Approach 1:
The system performs preliminary processing by pre-computing and storing user-created item lists with their associated keywords. This preparation work is done in advance, allowing the actual categorization process to simply involve matching items against these pre-processed lists rather than analyzing raw user data in real-time.
Solution Approach 2:
The patent extracts the essential categorization information from complex user behaviors and condenses it into simplified item lists with keywords. This extraction process separates the meaningful categorization data from the noise in user interactions, making subsequent processing more efficient.
3Reliability
If explicit metadata is required for item categorization, then the categorization reliability is high, but the ease of operation decreases due to data entry requirements
Solution Approach 1:
The system enables users to create their own item lists with keywords that define their categorization needs. This self-service approach allows users to establish their own categorization frameworks without requiring system-imposed metadata schemas, making the process more intuitive and easier to operate.
Solution Approach 2:
Instead of requiring the system to assign categories to items based on complex metadata, the patent inverts the approach by having users create lists that define the categories, and then the system automatically assigns items to these user-defined categories. This reversal simplifies the user experience while maintaining high reliability.
Data Source
AI summary
Disclosed are various embodiments for identifying relationships between items included in user-created item lists and a predefined set of keywords based at least in part upon a comparison of the item list titles and the keywords. Each item lists title may be compared with the set of keywords to determine if any of the title terms in the item list title matches any of the keywords. If a match is detected, each of the items included in the item list are associated with the matching keyword. Items that are associated with a particular keyword based on the comparison may be added to an item category corresponding to the keyword.