Preference Search Guidance via Variable Attribute Database
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Solution Overview
Problem
Current search systems fail to provide personalized search results as they rely solely on the keywords entered by users, lacking the ability to incorporate personal preferences and ever-changing public opinions, which limits the relevance of search outcomes.
Innovation Solution
A field-of-interest based preference search guidance system that utilizes a variable attribute database to automatically incorporate public opinions, allowing users to select search keywords based on their preferences without directly designating search terms, using a search requester terminal and a search service provision server that manages fixed and variable attributes to prioritize search results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a search system uses only keywords entered by users, then the search operation is simple and quick, but the search results cannot provide various types of information desired by the search requester
Solution Approach 1:
The system performs preliminary actions by automatically collecting and storing public opinion data from multiple sources (newspapers, magazines, TV, internet) before the user makes a search request. This pre-processing of data allows the system to quickly retrieve relevant information without requiring users to manually search or specify detailed keywords, thus maintaining search speed while enhancing result diversity.
Solution Approach 2:
The system introduces an intermediary mechanism - a database that stores both fixed attributes (objective facts) and variable attributes (public opinion data) - to bridge the gap between simple keyword searching and complex information retrieval. This intermediary structure enables the system to automatically incorporate diverse information sources into search results without increasing the operational complexity for users.
2Loss of information
If a search requester directly defines a relationship with a keyword, then additional information can be obtained, but the search requester must personally become aware of search terms and associate them with supplementary search terms
Solution Approach 1:
The system implements self-service by automatically collecting, storing, and processing public opinion data from various sources without requiring user intervention. The system serves itself by maintaining an updated database of fixed and variable attributes, and automatically retrieves relevant information when users make search requests, eliminating the need for users to manually search for supplementary terms or understand complex search relationships.
Solution Approach 2:
The system changes the parameters of information storage by introducing variable attributes that capture public opinion data alongside fixed attributes. This parameter expansion allows the system to store and retrieve diverse information types (news, opinions, facts) without requiring users to change their search behavior or understand the underlying data structure, thus maintaining ease of operation while enhancing information completeness.
3Measurement precision
If a search system incorporates personal preference and public opinion automatically, then search results become more personalized and relevant, but the system complexity increases
Solution Approach 1:
The system segments the information storage structure into distinct fixed attributes and variable attributes, making the complexity manageable through organization. Fixed attributes store objective facts while variable attributes store public opinion data, allowing the system to process and retrieve information systematically. This segmentation enables automatic personalization without creating an unmanageable monolithic structure.
Solution Approach 2:
The system achieves universality by creating a single database structure that handles both fixed attributes and variable attributes, serving multiple functions: storing objective facts, capturing public opinion, enabling personalized search, and providing diverse information retrieval. This multi-functional approach consolidates what would otherwise require multiple separate systems into one unified structure, managing complexity through functional integration.
Data Source
AI summary
Disclosed herein is a field-of-interest based preference search guidance system. The field-of-interest based preference search guidance system includes: a search requester terminal configured to select a desired search field of interest from among provided fields of interest, and to transmit designated attribute information; and a search service provision server configured to provide the fields of interest to the search requester terminal, to provide a fixed attribute list part and a variable attribute list part descriptive of field-of-interest based keywords belonging to a selected search field of interest to the search requester terminal, to select field-of-interest based keywords belonging to a fixed attribute designated value from information included in transmitted designated attribute information when the designated attribute information is transmitted from the search requester terminal, and to transmit the selected field-based search requester preference incorporating search keywords to the search requester terminal.