Dynamic Keyword Filtering for Online Classified Item Records
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Solution Overview
Problem
Existing online classified systems are cumbersome for users, requiring multiple interactions to list and browse items due to pre-defined categories, which can deter users from posting listings for lower-value items and make it difficult for consumers to intuitively find relevant items without specifying their search criteria.
Innovation Solution
A method and system that allow users to list and browse items using user-generated keyword attributes and location data, enabling filtering by keyword attributes and proximity, without relying on pre-set classification structures, and allowing for dynamic keyword suggestions and item categorization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If pre-defined categories are used for item classification, then item organization is systematic and searchable, but the listing process becomes time-consuming and complex for users
Solution Approach 1:
The system automatically generates categories and attributes from the item description text without requiring user selection from predefined lists. The server analyzes the description and autonomously creates relevant classification data, making the listing process as simple as providing a text description.
Solution Approach 2:
The manual mechanical process of selecting categories from predefined lists is replaced with an automated text analysis system using natural language processing. The server system automatically extracts and categorizes item attributes from the description text, eliminating the need for manual category selection.
2Adaptability or versatility
If multiple predefined categories and attributes are required, then item classification is comprehensive, but user frustration increases when categories don't match their items
Solution Approach 1:
The classification system is dynamic rather than static. Categories and attributes are generated on-demand based on the item description, allowing the system to adapt to any item type without being constrained by predefined category structures. This makes the system versatile while maintaining ease of use.
Solution Approach 2:
The system changes from fixed categorical parameters to flexible text-based parameters. Instead of requiring items to fit into predetermined categories, the system extracts relevant attributes directly from the description text, allowing any item to be classified appropriately without user frustration.
3Measurement precision
If users must specify search criteria to find items, then search results are precise, but browsing becomes difficult and limits discovery
Solution Approach 1:
The system serves multiple functions through a single mechanism: it enables both precise searching and easy browsing. The same keyword attribute structure that provides accurate search matching also enables intuitive browsing by displaying relevant keywords prominently, allowing users to discover items without specific search criteria.
4Loss of information
If detailed forms with multiple fields are required, then item information is complete, but the listing process becomes cumbersome
Solution Approach 1:
The system extracts all necessary item information from a single text description field rather than requiring users to fill in multiple separate form fields. The server analyzes the description and automatically extracts attributes, location, and categorization data, maintaining information completeness while eliminating form complexity.
Data Source
AI summary
Systems and methods for exchanging information about available items are provided. A method that can be performed at a server system includes: receiving media content relating to an available item from an electronic device of a listing user; receiving one or more keyword attributes that define attributes of the available item, the keyword attributes being generated by the listing user; and receiving location data identifying the location of the available item. The method stores the media content, keyword attributes, and the location data of the available item as an item record in an item database. Responsive to an accessing user accessing the server system using an electronic device, the method enables the accessing user to filter item records stored in the item database by the keyword attributes so as to view available items that match the keyword attributes.