Context-Based Service Object Generation for User Matching
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Solution Overview
Problem
Users face difficulties in finding suitable services from diverse service providers, and service providers struggle to effectively collect information about target users, leading to a need for an object service providing technology that can suggest services and determine charging fees effectively.
Innovation Solution
A system and method where a server provides a device with an object for accessing a service based on context information, modeling context data, receiving purchase requests, and determining charging fees according to selected charging methods, including auction and group purchasing methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If service providers provide diverse services, then service variety is improved, but user ability to find suitable services deteriorates
Solution Approach 1:
The patent introduces an intermediary system (server) that receives context information from users, matches it with appropriate services from multiple providers, and presents customized service recommendations to users. This mediator resolves the contradiction by organizing diverse services into personalized recommendations, making service variety accessible without overwhelming users.
Solution Approach 2:
The system applies local quality by customizing service recommendations based on individual user context information (location, time, preferences). Instead of presenting all diverse services uniformly, the system tailors the service presentation to each user's specific situation, making the diverse service catalog manageable and relevant.
2Measurement precision
If service providers collect user information, then service targeting accuracy is improved, but information collection complexity deteriorates
Solution Approach 1:
The system enables self-service information collection by having users naturally provide context information through their device usage patterns, location data, and interaction history. The server passively aggregates and processes this information without requiring active participation or complex input from users, simplifying the information collection process while maintaining targeting accuracy.
Solution Approach 2:
The server performs multiple functions: collecting context information, processing data, matching with services, and presenting recommendations. This multi-functional approach consolidates what would otherwise be complex separate systems into a single coordinated process, reducing overall system complexity while improving targeting accuracy.
3Measurement precision
If the system provides context-based service objects, then service suggestion accuracy is improved, but system complexity deteriorates
Solution Approach 1:
The patent segments the complex system into distinct functional modules: context information collection module, context modeling module, service matching module, and object generation module. Each module handles a specific aspect of the process, making the overall system more manageable and easier to implement while maintaining high suggestion accuracy through specialized processing at each stage.
Data Source
AI summary
A server and method of providing an object for accessing a service of a service provider are provided. The server includes a context model providing unit configured to provide to the service provider at least one context model that is associated with the service, which is used by a device or a user, and a situation in which the device or the user uses the service; a purchase request receiving unit configured to receive a purchase request submitted by the service provider for a context model which is selected from among the at least one context model; and an object generation unit configured to generate the object for accessing the service of the service provider. The generated object is matched with the context model associated with the purchase request received from the service provider.