Human Resource Search Engine with Keyword Database
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Solution Overview
Problem
Current search engines are inefficient in locating human resources over the internet due to their design focusing on material resources, which cannot account for the dynamic nature, free will, and adaptability of humans, leading to irrelevant results and increased internet traffic.
Innovation Solution
A system that creates a database of human resources based on keywords, allowing users to connect with others sharing similar interests, with a search engine that distinguishes between human and material resources, enabling direct communication and dynamic network formation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional search engines are used to locate human resources, then a list of URLs is provided, but the results are irrelevant and do not connect users with actual human expertise
Solution Approach 1:
The patent segments the search result into two distinct components: traditional material resources (URLs) and human resources (contact information). By separating these previously mixed results, the system can provide targeted connections to actual human expertise rather than generic web pages, directly improving search relevance for human resource location.
Solution Approach 2:
The patent introduces an intermediary component that bridges search queries and human resources. This intermediary processes search results, identifies relevant human expertise, and facilitates direct contact between users and experts, thereby recovering the lost connection to human knowledge that traditional search engines fail to provide.
2Quantity of substance
If traditional search engines index all web content, then comprehensive coverage is achieved, but internet traffic increases and search efficiency decreases
Solution Approach 1:
The patent extracts human resource information from the vast web content and places it into a dedicated, specialized database. This extraction process removes the need to search through all web pages for human contact information, reducing internet traffic and improving search efficiency while maintaining comprehensive coverage of human expertise.
Solution Approach 2:
The patent implements a dynamic database that continuously updates human resource information based on new web content and user interactions. This dynamic approach allows the system to maintain comprehensive coverage of human expertise while optimizing search performance through real-time data updates and adaptive indexing strategies.
3Device complexity
If traditional search engines treat all resources uniformly, then simple processing is maintained, but the dynamic nature and free will of human resources cannot be accounted for
Solution Approach 1:
The patent applies local quality by treating human resources differently from material resources in specific aspects of the search process. While maintaining uniform processing for basic search operations, the system applies specialized handling for human resources including contact information extraction, expertise matching, and direct connection facilitation, thereby accounting for the unique characteristics of human expertise without overwhelming complexity.
Data Source
AI summary
A computer implemented method for a user of a network to locate one or more human resources, the method comprising the steps of: providing a record in a database for each of a plurality of human resources, the record including one or more keywords associated with the human resource; receiving from a first user a search request including one or more keywords; searching the records in the database to find matching records associated with one or more human resources with a keyword that matches a keyword in the received search request; and returning search results to the first user, the search results identifying the matching records.