Trending Product Widget Using CTR CVR Analysis
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Solution Overview
Problem
Online retail shopping platforms often fail to effectively indicate trending products within specific categories, making it difficult for users to discover popular items, especially in categories like fashion and beauty where trends change rapidly.
Innovation Solution
The implementation of a system that uses click-through-rate (CTR) and conversion-rate (CVR) data in a moving time window to detect trending products, combined with an unsupervised graph-based model for trend interpretation to identify keyphrases associated with trending products, which are then presented to users through a trending products widget.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If online retail shopping platforms provide comprehensive product information and browsing capabilities, then users can view specific product information and make purchases, but the platforms fail to indicate trending products and the reasons they are trending
Solution Approach 1:
The patent extracts trending product information from the comprehensive product catalog by identifying products with rapidly increasing popularity metrics. A trending products widget is created that separates and displays only the trending products and their reasons, extracting this specific information from the larger platform information system without requiring complete system redesign
Solution Approach 2:
The patent introduces an intermediary analysis system that processes product popularity data, user interactions, and product attributes to generate trending product identifiers and reason explanations. This intermediary layer translates raw platform data into meaningful trending product information without directly modifying the core platform infrastructure
2Productivity
If the platform displays all available products in a category, then users can browse extensively, but users cannot easily discover trending products among the large number of products
Solution Approach 1:
The patent segments the product catalog by identifying and separating trending products from the overall product set. A dedicated trending products widget displays only trending items with their popularity reasons, segmenting the information presentation to improve discovery efficiency without reducing the total product catalog available for browsing
Solution Approach 2:
The patent applies local quality enhancement by providing enriched information specifically for trending products, including product identifiers, popularity metrics, and reason explanations. This localized information enhancement helps users quickly identify trending products without requiring them to analyze all products in the category
3Loss of information
If the platform provides detailed product information, then users can make informed purchases, but users do not understand the reasons behind product popularity trends
Solution Approach 1:
The patent performs preliminary analysis of product popularity trends and reasons before presenting them to users. The system pre-processes product data, user interactions, and external factors to generate trending product identifiers and reason explanations in advance, making this information readily available when users view the trending products widget
Data Source
AI summary
Systems and methods for trending product recommendations are provided herein. Particularly, click-through-rate (CTR) and conversion-rate (CVR) data metrics associated with various products may be analyzed to identify trending products. Keyphrases may then be extracted from information associated with these trending products and provided to an unsupervised graph-based model to determine a relative importance of each keyphrase relative to other keyphrases extracted from information associated with other trending products. Keyphrases that are determined to be the most “important” may then be presented along with the trending products in a trending product widget when a user searches for products.