Search System Using Relationship Chain Filtering
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Solution Overview
Problem
Search engines often return a large amount of information, including spam and false data, which compromises the reliability and practicality of search results.
Innovation Solution
A search method and system that allows users to define a search range by selecting a relationship chain classification, such as friends, schoolmates, or micro-blog followers, to filter information and reduce the likelihood of obtaining spam or false information by only searching within that specific user account list.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a search engine returns a large amount of information to ensure comprehensive search coverage, then the quantity of search results is improved, but the reliability and practicality of the information deteriorates due to inclusion of spam and false data
Solution Approach 1:
The patent segments the search space by introducing relationship chain classifications that divide user accounts into different groups (e.g., friends, family, colleagues). This allows the search system to segment results by trust level, presenting different quantities and types of information based on the selected relationship chain, thereby maintaining reliability while providing comprehensive search coverage across multiple segmented categories
Solution Approach 2:
The patent introduces relationship chains as an intermediary layer between the user and search results. This intermediary structure filters information based on trust relationships, allowing the system to maintain both comprehensive search coverage and high reliability by routing results through the relationship chain filter that eliminates spam and false information
2Adaptability or versatility
If the search scope is expanded to include all user accounts to improve information completeness, then the adaptability of the search system is improved, but the difficulty of detecting and measuring information quality worsens
Solution Approach 1:
The patent applies preliminary action by pre-establishing relationship chain classifications and trust relationships before the search process. User accounts are pre-categorized into relationship chains (friends, family, colleagues, etc.), and trust levels are predetermined. When a search is executed, the system simply queries within the pre-defined relationship chain scope, making quality detection straightforward without requiring complex real-time analysis of information sources
Data Source
AI summary
Provided is a search method, system and device. The search method includes obtaining a keyword, a relationship chain classification and a user account that are inputted by a user; obtaining a user account list that corresponds to the obtained user account and belongs to the obtained relationship chain classification; and searching for information corresponding to the obtained keyword from information posted by each user account in the user account list to obtain a search result, and displaying the search result. By the search method, system and device, the practicability and reliability of information may be improved.


