Catalog Item Matching for Accurate Online Listing Enhancement
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Solution Overview
Problem
Conventional methods of categorizing and presenting products on online platforms fail to accurately match user-submitted listings due to varied titles and descriptions, leading to irrelevant search results and increased network traffic.
Innovation Solution
A catalog-based approach using an aspect matching model and a language model to enhance item listings by matching them to a catalog of items, updating listings with standardized information, and reducing the need for user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If individual users provide varied titles and descriptions for item listings, then users have flexibility in how they describe their items, but search result matching accuracy deteriorates
Solution Approach 1:
The patent introduces an intermediary processing system that receives varied user descriptions and translates them into standardized catalog formats. This intermediary layer (the processing system with aspect matching model) mediates between user flexibility and search accuracy, allowing users to describe items in their own words while ensuring standardized matching results.
Solution Approach 2:
The system changes the parameter format of item descriptions by transforming varied user inputs into standardized catalog parameters. The aspect matching model processes different description styles and converts them into consistent parameter formats that enable accurate search matching while preserving the original user intent.
2Ease of manufacture
If conventional categorizing methods are used for product listings, then implementation is simple, but search result relevance deteriorates
Solution Approach 1:
The system performs preliminary action by pre-processing item descriptions through the aspect matching model before they are stored or searched. This preliminary processing standardizes the data format in advance, ensuring both implementation simplicity and search relevance without requiring complex real-time processing.
Solution Approach 2:
The patent creates a standardized copy or representation of user-submitted item descriptions through the catalog format. Instead of directly using varied user inputs for matching, the system creates a standardized version that maintains the essential information while enabling reliable search operations.
3Loss of information
If detailed item descriptions are provided by users, then item information completeness improves, but network traffic and computing resources increase
Solution Approach 1:
The system extracts only the essential and relevant information from detailed user descriptions using the aspect matching model. By taking out only the necessary parameters needed for accurate matching and cataloging, the system maintains information completeness while reducing the overall data volume that requires network transmission and processing.
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.