Hierarchical Database for Ecommerce Item Name Suggestions
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Solution Overview
Problem
Ecommerce sellers face difficulties in creating accurate listings for items due to lack of knowledge about metadata tags and overwhelming listing creation processes, especially on mobile devices, leading to inconsistent descriptions and reduced sales opportunities.
Innovation Solution
A hierarchical database system that suggests item characteristics and metadata tags based on user inputs, using a scoring system to rank relevance and provide ordered search results, aiding sellers in creating effective listings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a comprehensive listing creation tool is provided to guide sellers through the listing process, then listing accuracy can be improved, but the interface becomes overwhelming and unwieldy especially on mobile devices
Solution Approach 1:
The system segments the listing creation process by presenting only the most relevant item characteristics to the seller at each step, rather than displaying all possible characteristics simultaneously. The hierarchical database structure allows the system to divide characteristics into categories and subcategories, showing only the pertinent section based on the item type being listed, thus maintaining accuracy while improving mobile interface usability
Solution Approach 2:
The system performs preliminary action by automatically generating suggested item characteristics and metadata tags based on the seller's initial input and the hierarchical database. This pre-processing reduces the burden on the seller by providing ready-made suggestions that improve listing accuracy without requiring the seller to navigate complex interfaces or understand technical metadata requirements
2Manufacturing precision
If sellers are provided with detailed metadata tags and item characteristics, then listing quality can be improved, but sellers lack knowledge about these tags making the process difficult
Solution Approach 1:
The system implements self-service by automatically generating item characteristics and metadata tags based on the seller's input and the hierarchical database structure. The seller simply needs to provide basic information about the item, and the system autonomously retrieves and presents relevant characteristics, eliminating the need for sellers to have specialized knowledge about metadata tags while maintaining high listing quality
Solution Approach 2:
The hierarchical database acts as an intermediary between the seller's simple input and the complex metadata requirements. It translates basic item descriptions into structured characteristics with appropriate metadata tags, bridging the knowledge gap without requiring the seller to understand technical tagging systems
3Measurement precision
If a hierarchical database with scored item characteristics is used, then search result relevance can be improved, but system complexity increases
Solution Approach 1:
The system performs preliminary action by pre-computing scores for item characteristics in the hierarchical database based on their relevance to search queries. These scores are calculated in advance and stored, allowing the system to quickly retrieve and rank characteristics without performing complex calculations in real-time, thus improving search result relevance while managing system complexity
Solution Approach 2:
The system uses parameter changes by introducing a scoring parameter that quantifies the relevance of each item characteristic. This numerical parameter transforms the complex task of determining relevance into a straightforward comparison and ranking process, improving search result precision while keeping the system architecture manageable through parameter-based organization
Data Source
AI summary
Described herein are embodiments for assisting in creating a listing for a For Sale Object (FSO). An item name suggestion module receives seller input and provides suggested entries for the listing to help the seller describe the FSO more accurately and consistently. A hierarchical database provides a structure for ordering suggested entries, with the structure ordered based on scores. The scores are based on rules that relate item characteristics and take into account rankings of those item characteristics with respect to one another. Metadata tags that are used by the online merchandise platforms can be identified and included in the listing, even if a seller is not familiar with the metadata tags. The hierarchical database also connects or associates item characteristics in groups that describe specific FSO. The connections can help to optimize search results as the listing is completed by the seller.