Product Grouping System with Keyword Extraction and Validation
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Solution Overview
Problem
In e-commerce, product introducers face challenges in uniformly promoting products on introduction pages, as different visitors are attracted by varying aspects such as price or performance, leading to inconsistent sales promotion, and there is a need for an environment that provides ideas for grouping products from multiple viewpoints.
Innovation Solution
An information processing device with components like display control, keyword extraction, sorting word selection, and group presentation parts arranges products in a browsable state, extracts common keywords, and presents candidates for product grouping, ensuring uniformity and uniqueness in product presentation, while preventing the use of unrecommended names for product groups.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If product introducers manually create product introduction pages with various viewpoints, then product diversity and visitor attraction improve, but consistency and uniformity of product grouping deteriorate
Solution Approach 1:
The system automatically extracts keywords from product information and performs grouping without requiring manual intervention from product introducers. The keyword extraction unit automatically identifies attributes, and the grouping unit automatically organizes products based on these extracted keywords, enabling the system to serve itself rather than relying on manual creation while maintaining both diversity and uniformity.
2Stability of the object's composition
If automated keyword extraction and grouping is implemented, then product grouping uniformity improves, but product introduction originality and visitor attraction may deteriorate
Solution Approach 1:
The system merges automated keyword extraction with manual product introduction processes. The keyword extraction unit provides structured data for uniform grouping, while product introducers retain the ability to add original commentary and perspectives. This combination allows the system to maintain both automated uniformity in grouping and human creativity in presentation.
3Measurement precision
If multiple keywords are extracted for each product, then product categorization accuracy improves, but system complexity and processing time increase
Solution Approach 1:
The keyword extraction process is segmented into multiple independent units, each responsible for extracting specific types of keywords (e.g., product attributes, features, categories). This segmentation allows the system to handle multiple keywords efficiently without creating a monolithic complex system, as each extraction unit can operate independently and parallelly.
4Measurement precision
If product introducers are encouraged to create unique group names, then product group identification improves, but inappropriate or offensive names may be assigned
Solution Approach 1:
The appropriateness determination unit provides feedback on proposed group names by checking them against a database of inappropriate terms and naming conventions. When a product introducer enters a group name, the system automatically evaluates it and provides feedback if the name is inappropriate, allowing the introducer to revise the name before final submission. This feedback mechanism ensures accurate identification while preventing harmful content.
Data Source
AI summary
A product introduction support device includes a display control part, a keyword extraction part, a sorting word selection part, and a group presentation part. The display control part is configured to create display control information to arrange a plurality of selected products in a browsable state on a web. The keyword extraction part is configured to extract a keyword representing an attribute for each of the plurality of selected products. The sorting word selection part is configured to select at least one keyword common to or similar to a plurality of products among the keywords extracted by the keyword extraction part as a sorting word. The group presentation part is configured to perform processing of presenting candidates for a product group that are bracketable by the sorting word among the plurality of selected products.