User Recommendation System With Cluster And Option Control Matching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
E-commerce platforms face limitations in providing flexible product matching services to users, as existing systems are not adaptable enough to meet diverse user demands.
Innovation Solution
A user recommendation method and system that obtains combination information from users, matches cluster information with different types of option controls, and transmits relevant user information, allowing for flexible matching and expanded service scope by combining first cluster information with various types of option controls.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the server provides product matching based only on tag information, then the system is simple to operate, but the service is not flexible enough to meet diverse user demands
Solution Approach 1:
The patent segments the matching process into multiple independent modules: tag information matching, cluster information matching, and option control matching. Each module handles a specific aspect of user requirements, allowing the system to process complex matching tasks through coordinated simple operations. The combination information is divided into distinct components that can be processed separately and then integrated.
Solution Approach 2:
The system dynamically adjusts the matching strategy based on the type of combination information received. Different matching modes (first type, second type, third type) are activated depending on the user's needs, allowing the system to transition between simple tag-based matching and more complex cluster-based matching with various option controls, thereby achieving flexibility without permanent complexity.
2Adaptability or versatility
If the server implements multiple types of combination information with different option controls, then the service scope is expanded, but the matching process becomes more complex
Solution Approach 1:
The patent creates a universal matching framework that can handle multiple types of combination information (first type with first option control, first type with second option control, second type with third option control, third type with multiple cluster information). The same basic matching architecture processes all these variations, making the system multi-functional without requiring separate complex systems for each matching type.
Solution Approach 2:
The system changes parameters of the matching process based on the input type. When different option controls are detected, the matching algorithm adjusts its parameters accordingly - such as which attributes to weight, what thresholds to apply, and how to interpret match results. This parameter-based adaptation allows the system to handle diverse matching requirements through a single flexible framework.
Data Source
AI summary
A user recommendation method and a related system are provided. In the user recommendation method, combination information from a first user is obtained. A first type of the combination information includes first cluster information and an option control. The option control is one of a first type of option control and a second type of option control. If the combination information from the first user is recognized as being in the first type, the first cluster information of the combination information from the first user is matched with the first cluster information of the combination information from a second user. The option control of the combination information from the second user is different from the option control of the combination information from the first user. If the matching succeeds, information of the second user is transmitted to the first user.