Recommendation Device Extracting Important Parts for Partnership Validation
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Solution Overview
Problem
Users cannot obtain sufficient information about recommended companies beyond matching indices, making it difficult to determine their validity as business partners, and existing technologies may highlight unimportant text features when evaluating companies.
Innovation Solution
A recommendation device that extracts and presents a recommended company by specifying important parts in target and candidate company information, allowing users to contrast and determine the validity of potential business partners more effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If only matching indices are presented for recommended companies, then the recommendation system remains simple and fast, but users cannot obtain sufficient information to determine validity of the recommended company as a business partner
Solution Approach 1:
The patent extracts important parts from both the target company information and the recommended company information, and presents them together for comparison. This extraction principle allows the system to provide sufficient information for validity determination without presenting all raw data, thus balancing information completeness with system simplicity.
Solution Approach 2:
The patent segments the company information into important parts that are relevant for partnership validation. By dividing the information into meaningful segments and presenting only those segments, the system provides sufficient detail for decision-making while maintaining operational simplicity.
2Reliability
If text analysis is applied to evaluate recommended companies, then more information becomes available, but the important parts highlighted may not necessarily be important for determining validity as a business partner
Solution Approach 1:
The patent applies local quality by treating the target company information and recommended company information differently. It extracts important parts specifically from both sources and presents them in correspondence, allowing the system to highlight information that is locally relevant to partnership validation rather than applying uniform text analysis.
Solution Approach 2:
The patent uses feedback by comparing the important parts of target company information with those of recommended company information. This comparative feedback mechanism ensures that the highlighted information is directly relevant to determining partnership validity, as it is derived from the actual cooperation details and requirements of both parties.
3Ease of operation
If detailed company information is presented for validity assessment, then users can make better partnership decisions, but the system becomes more complex and harder to operate
Solution Approach 1:
The patent merges the important parts of target company information and recommended company information into a unified presentation format. By combining these corresponding important parts together, the system provides comprehensive information for validity assessment in an integrated and easy-to-compare manner, improving ease of operation without excessive complexity.
Data Source
AI summary
Provided is a technology that enables a user to more easily determine validity of a recommended company recommended as a cooperation candidate of a target company. A recommendation device (100) includes: an extracting section (101) that extracts a recommended company recommended as a cooperation candidate of a target company, from a plurality of companies on the basis of target company information including a cooperation detail desired by the target company and cooperation candidate company information including a cooperation detail desired by each of the plurality of companies, which are cooperation candidates of the target company; a specifying section (102) that specifies a first important part in the target company information and a second important part in the cooperation candidate company information of the recommended company; and a presenting section (103) that presents the cooperation candidate company information of the recommended company, the first important part, and the second important part.