Metaverse Meta-Search With Account Authentication for Private Content
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Solution Overview
Problem
Existing meta-search engines are limited in searching breadth and depth, unable to perform cross-metaverse searching and do not support the retrieval of private contents associated with user accounts, leading to insufficient searching efficiency.
Innovation Solution
A meta-searching method that determines a target metaverse using intent classification, prioritizes search engines associated with the metaverse, performs identity authentication if required, and integrates both metaverse-specific and general search engines to provide comprehensive search results, ensuring security and depth of content retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If related-art search engines are used, then searching can be performed, but searching breadth and depth are limited and cannot perform cross-metaverse searching
Solution Approach 1:
The patent combines multiple search engines (general search engines and metaverse-specific search engines) into a unified meta-search system. This integration allows the system to leverage the strengths of each search engine type, enabling both broad web searching and deep metaverse-specific searching capabilities simultaneously.
Solution Approach 2:
The meta-search system is designed to perform multiple functions: it can search across different metaverses, search within individual metaverses, access public contents, and access private contents associated with user accounts. This multi-functional design resolves the limitation of single-purpose search engines.
2Loss of information
If related-art search engines are used, then searching can be performed, but private contents associated with user accounts cannot be retrieved
Solution Approach 1:
The system performs user account authentication before retrieving private contents. This preliminary authentication action ensures that only authorized users can access their private contents, resolving the contradiction between information access and security reliability.
3Measurement precision
If metaverse-specific search engines are prioritized, then searching depth in target metaverse is improved, but searching efficiency may be reduced due to authentication requirements
Solution Approach 1:
The system dynamically adjusts its operation mode based on the search type. For public contents, it performs direct searching without authentication to maintain efficiency. For private contents, it activates authentication procedures to ensure security. This dynamic adaptation resolves the contradiction between searching depth and efficiency.
Data Source
AI summary
A meta-searching method, including determining a target metaverse for a current search using intent classification based on an inquiry text included in a searching request of a user; extracting a searching clue and a clue type; selecting a current search engine for performing the current search using the target metaverse and the clue type by prioritizing a search engine associated with the target metaverse; performing identity authentication using the user account information of the user in the target metaverse prior to the search based on determining that user account information is required to search for the searching clue for performing a search using the current search engine, and performing the search using the current search engine based on the searching clue; and providing the search results to the user.