Service Invitation Candidate Extraction via Attribute Matching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In existing service systems, managers lack a systematic approach to select and invite users who have not registered for services, as there are no indicators to guide user selection for service invitations.
Innovation Solution
An information processing apparatus and method that extracts candidate users for service invitations based on attribute information of objects necessary for service provision and user information, using a service system to generate an invitee list and facilitate user selection by managers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a manager manually selects and invites users for service registration, then the manager can control the invitation process, but the selection is subjective and lacks systematic guidance
Solution Approach 1:
The patent introduces a service system as an intermediary between the manager and the user selection process. The service system automatically extracts candidate users based on objective criteria such as device usage patterns, service attributes, and user profiles, providing systematic guidance to the manager while maintaining managerial control over the final invitation decision.
2Loss of information
If no indicator system is provided for user selection, then the system remains simple, but the manager lacks guidance for effective user selection
Solution Approach 1:
The patent segments the user selection process into distinct components: candidate extraction based on device usage attributes, service attribute matching, and manager approval. The service system provides segmented indicators showing different aspects of user suitability (e.g., usage frequency, service relevance), allowing the manager to make informed decisions without overwhelming complexity.
3Measurement precision
If automatic user extraction is implemented, then the selection becomes objective and systematic, but the system complexity increases
Solution Approach 1:
The service system performs self-service by automatically extracting candidate users based on pre-defined criteria and attributes. The system autonomously analyzes device usage data, matches service requirements with user profiles, and generates candidate lists, reducing the need for manual intervention while maintaining systematic and objective selection accuracy.
4Productivity
If the manager invites users without systematic criteria, then the process is quick and simple, but work efficiency improvement is limited
Solution Approach 1:
The service system performs preliminary actions by pre-extracting candidate users and preparing selection indicators before the manager initiates the invitation process. This preliminary preparation includes analyzing usage patterns, matching service attributes, and ranking candidates, so that when the manager reviews and sends invitations, the work is already optimized for efficiency with minimal additional time required.
Data Source
AI summary
An information processing apparatus includes an extracting unit that extracts, based on attribute information of an object necessary for using a service provided by a service system and information related to a user of the service system, a candidate for the user to be invited to the service, out of users who are yet to use the service.