Catalog-Based Listing Matching for Search-Accurate Item Updates
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Solution Overview
Problem
Conventional methods of categorizing and presenting products on online platforms face challenges due to varied user-generated titles and descriptions, leading to inaccurate search results and increased network traffic, which hinders efficient item retrieval and user experience.
Innovation Solution
A catalog-based item listing enhancement technique using an aspect matching model and a language model to automatically update listings by matching them to a catalog, ensuring accurate and standardized information, reducing repeated searches and network traffic.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If individual users provide varied titles and descriptions for items, then user-generated content diversity is improved, but search result accuracy deteriorates
Solution Approach 1:
The patent introduces a catalog as an intermediary between user-generated listings and search queries. The catalog provides standardized item information that mediates the matching process, allowing varied user descriptions to be accurately matched through a common reference standard rather than direct comparison.
Solution Approach 2:
The system performs preliminary action by pre-creating standardized catalog entries for items before they are listed by users. This advance preparation of reference data enables accurate matching without requiring users to provide precise descriptions, as the catalog information is already structured and ready for comparison.
2Ease of operation
If conventional categorization methods are used, then ease of operation is improved, but network traffic increases due to repeated searches
Solution Approach 1:
The system implements self-service by automatically matching listings to catalog items and updating listings with standardized information without requiring manual user intervention. This automation reduces the need for users to repeatedly search and adjust listings, thereby reducing network traffic while maintaining ease of operation.
Solution Approach 2:
The system uses feedback from catalog matching to automatically update listings with standardized information. This feedback loop ensures that listings are continuously improved based on catalog data, reducing the need for manual adjustments and repeated searches that would generate additional network traffic.
3Loss of information
If varied user descriptions are allowed, then listing completeness is improved, but information accuracy deteriorates
Solution Approach 1:
The patent merges user-generated listing information with standardized catalog information. By combining the completeness of user descriptions with the accuracy of catalog data, the system achieves both comprehensive information coverage and reliable accuracy through the integration of multiple information sources.
Solution Approach 2:
The system uses copying by replicating accurate catalog information into user listings. Instead of relying solely on user-generated content, the system copies verified catalog data into listings to ensure accuracy while maintaining the completeness provided by user descriptions.
Data Source
AI summary
Catalog-based item listing enhancement is described. A matching item from a collection of items may be selected to match an item listing by at least one of an aspect matching model trained using a catalog of the collection of items and a language model trained using a database of item listings. The item listing may be updated based on an entry for the matching item in the catalog.