Internet Retrieval System Using Global Classification
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Solution Overview
Problem
Current Internet search systems face inefficiencies due to the vast amount of irrelevant information returned, lack of guaranteed site visibility, and the need for specialized keyword selection, which hampers the effectiveness of information retrieval and increases resource demands.
Innovation Solution
Implementing a Global Classification of Information in the Internet, where Web sites are categorized using a hierarchical tree structure with specific codes, allowing users to search through divisions and subdivisions, and providing additional criteria for selecting relevant data from search results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If keyword-based search algorithms are used to retrieve information, then the search can be performed automatically with minimal user input, but the system returns a huge amount of irrelevant information that users cannot browse efficiently
Solution Approach 1:
The patent segments the information retrieval process into two distinct phases: (1) automatic keyword-based search to generate an initial result set, and (2) manual expert review to filter and select relevant information. This segmentation allows the system to combine automated efficiency with human judgment to eliminate irrelevant information.
Solution Approach 2:
The patent introduces human experts as an intermediary between the automated search system and the final information delivery. These experts review the automatically retrieved results and select only the relevant information, acting as a mediator that filters out irrelevant content while maintaining automation benefits.
2Reliability
If the system provides comprehensive search results based on keyword matching, then all potentially relevant information is included, but users are overwhelmed by the volume of data and cannot find needed information efficiently
Solution Approach 1:
The patent extracts relevant information from the comprehensive search results through manual expert review. Experts examine the full set of keyword-matched results and extract only the truly relevant portions, delivering a refined subset to users that maintains completeness of relevant information while eliminating overwhelming volume.
3Adaptability or versatility
If retrieval systems store and process large amounts of information to ensure comprehensive coverage, then all user needs can be met, but the demands on server space and processing resources increase significantly
Solution Approach 1:
The patent performs preliminary keyword-based filtering to generate a candidate result set before expert review. This preliminary action reduces the volume of information that needs to be stored and processed by experts, while still ensuring comprehensive coverage of potential relevant information through the initial automated search.
4Productivity
If mathematical algorithms are used to estimate keyword relevance and rank Web sites, then automated sorting and ranking can be performed, but the results do not always represent the true meaning of site information and may be manipulated
Solution Approach 1:
The patent incorporates expert review as a feedback mechanism that corrects and refines the automated algorithmic rankings. Experts evaluate the mathematically ranked results and adjust the ordering based on true relevance, providing feedback that improves measurement precision while maintaining automated productivity.
Solution Approach 2:
Human experts serve as an intermediary between automated ranking algorithms and final result presentation. They review and validate the algorithmic rankings, ensuring that the final ordered results accurately represent true information relevance rather than just mathematical scores that can be manipulated.
Data Source
AI summary
A retrieval system and a method of searching of information in the Internet are proposed. The algorithm of allocation of information about Web sites in the database of retrieval system and the algorithm of searching of information are based on the Global Classification of Information in the Internet. The retrieval system designed for searching of information in the Internet comprise a interconnected with the Internet server of retrieval system including multi-language Web site of retrieval system with searching programs and database of retrieval system. The retrieval system comprises also plural network servers wherein information, that is belong to information suppliers, is stored. The retrieval system also provides organization of a data transfer for automatic systems, and provides organization of an automatic collection of information. The users of retrieval system, computers of which interconnected with the Internet, can be as suppliers of information as searchers of information. The method of searching of information in the Internet comprise a procedure of registration of Web sites by information suppliers, a procedure of forming database of information about registered in retrieval system Web sites, including procedures of forming database of information of retrieval system and renovate and addendum information to database of retrieval system, a procedure of searching of information and procedure of selecting of required data from results of the search.