Page Evaluation System for Mall Shopping Sites
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Solution Overview
Problem
Existing page evaluation systems fail to effectively assess the effectiveness of pages generated by mall-type shopping sites, which are often cluttered with advertisements and reviews, making it difficult for sellers to ensure their product pages are appealing to purchase examiners.
Innovation Solution
A page evaluation system that extracts and analyzes key information from target product pages on mall-type shopping sites, using a storage unit to associate evaluation items with allocation points, and an evaluation unit to calculate scores based on selected KPIs, while considering advertisements and brand associations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If a mall-type shopping site generates product pages with integrated management, then the administrator can integrally manage product pages and sales, but the seller must prepare and transmit various information satisfying requirements which is troublesome to check
Solution Approach 1:
The system automatically evaluates the generated product page by acquiring the page information, extracting evaluation items, comparing them against predetermined criteria, and providing feedback to the seller. This closed-loop feedback mechanism allows the seller to see what information is missing or non-compliant without manually checking all requirements, thus reducing the operational burden while maintaining automated page generation.
Solution Approach 2:
The evaluation system performs self-assessment of the product page by automatically acquiring page information, extracting evaluation items, and determining compliance status without requiring the seller to manually verify each requirement. The system serves itself by autonomously identifying issues and providing guidance.
2Extent of automation
If the product page and search result page are generated by the mall-type shopping site side, then the administrator can integrally manage the site, but a page convenient for the seller is not necessarily browsed by the purchase examiner
Solution Approach 1:
The system provides objective feedback on page effectiveness by evaluating whether required information is present and compliant. This feedback mechanism bridges the gap between seller convenience and purchase examiner needs by quantifying page quality and guiding improvements.
Solution Approach 2:
The system replaces subjective judgment of page effectiveness with automated objective evaluation. Instead of relying on manual assessment or intuition about what purchase examiners want, the system uses automated information extraction and criterion-based evaluation to precisely measure page effectiveness.
3Adaptability or versatility
If the product page includes advertisements and reviews from other companies, then the mall-type shopping site can provide comprehensive information, but the seller needs to check the product page generated by the mall-type shopping site
Solution Approach 1:
The evaluation system performs self-assessment of the product page, automatically identifying which required information is present or missing among the comprehensive content including advertisements and reviews. This eliminates the need for the seller to manually check through all the mixed content.
Solution Approach 2:
The system extracts only the relevant evaluation items from the comprehensive page content, separating the essential information needed for evaluation from the additional content like advertisements and reviews. This extraction process allows the system to focus on what matters for compliance while ignoring irrelevant elements.
Data Source
AI summary
A page evaluation system that extracts an evaluation target page related to a target product to be sold on a mall-type shopping site from the mall-type shopping site and analyzes the evaluation target page, the page evaluation system including: a page information acquisition unit that acquires information of the evaluation target page; a storage unit that stores a plurality of evaluation items extracted from information displayed on the evaluation target page and allocation points for the evaluation items in association with each other; and an evaluation unit that extracts a plurality of evaluation items from information of the evaluation target page, refers to the storage unit, and evaluates the evaluation target page by calculating the allocation point for at least the evaluation item extracted.


