Dynamic Product Tagging for E-commerce Navigation
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Solution Overview
Problem
Conventional e-commerce navigation methods, such as category and attribute navigations, are limited in providing user-friendly and accurate product identification due to fixed attribute labels that do not reflect user desires, leading to difficulties in finding products amidst increasing product diversity and information volume.
Innovation Solution
A method and apparatus that utilize text analysis based on subject models to cluster product description information, extract user dimension attributes, and create dynamic product identifiers that align with user perspectives, enabling more intuitive and accurate product navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional attribute navigation with fixed identifiers is used, then product information can be organized systematically, but users cannot easily find products that match their specific desires and perspectives
Solution Approach 1:
The patent transforms static, fixed attribute identifiers into dynamic tags that are generated based on user behavior data, search queries, and product characteristics. These tags adapt and evolve over time to reflect changing user preferences and perspectives, allowing the navigation system to remain relevant and useful as user needs change.
Solution Approach 2:
The system automatically generates and updates product tags by analyzing user search behavior, click patterns, and product performance data without requiring manual intervention. This self-service approach allows the navigation system to continuously optimize itself based on actual user interactions, improving product discoverability automatically.
2Measurement precision
If more product information and attributes are provided to describe products accurately, then product identification precision improves, but information volume increases making navigation more difficult
Solution Approach 1:
The patent extracts and highlights only the most relevant product tags based on user behavior and search patterns, rather than displaying all available product attributes. This extraction process filters out unnecessary information and presents users with a focused set of key identifiers that are most likely to help them find what they are looking for.
Solution Approach 2:
Different products receive different sets of tags based on their specific characteristics and user interaction patterns. Rather than applying a uniform set of attributes to all products, the system tailors the tagging and navigation presentation to each product's local context and relevance to user needs.
3Reliability
If manual review and labeling of product identifiers is performed, then identifier accuracy is ensured, but processing time and labor costs increase
Solution Approach 1:
The patent replaces the manual mechanical process of reviewing and labeling product identifiers with an automated computational system that analyzes user behavior data, search queries, and product characteristics to generate tags algorithmically. This substitution dramatically increases processing speed while maintaining reliability through data-driven accuracy.
Solution Approach 2:
The system continuously monitors user interactions with tagged products and uses this feedback to refine and improve tag accuracy over time. By incorporating real-world usage data into the tagging process, the system ensures that identifiers remain accurate and relevant without requiring constant manual review.
Data Source
AI summary
The present disclosure provides example methods and apparatuses of labeling product identifiers and methods of navigating products. Description information of one or more products is extracted. The description information of the products is clustered into a text. A subject analysis is applied to the text by using a text analysis method based on subject models to obtain one or more subjects and definition names for the subjects. A subject that is correlated to the description information of the product is used as an identifier of the product to label the product. The present techniques label the products with identifiers that have one or more user dimension attributes so that users may easily and intuitively find their desired products.