Subject-Version Tags for Search Result Ranking
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Solution Overview
Problem
Search engines often return unsatisfactory results when users query for specific versions of entities, as the results may not explicitly provide information about the desired version, leading to irrelevant information being prioritized over version-specific content.
Innovation Solution
The system creates and associates subject-version tags with searchable documents, identifies search queries with a version-intent, and ranks results based on these tags, allowing users to manipulate the version-intent for more relevant results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If search engines rank documents based on keyword-based relevance, then the search process is simple and fast, but the results may not accurately reflect the user's version-specific intent
Solution Approach 1:
The system performs preliminary actions by pre-tagging documents with subject-version tags before the search query is submitted. This allows the search engine to quickly match version-intent queries with pre-classified documents, improving version-specific relevance without adding significant complexity to the real-time search process.
Solution Approach 2:
The patent introduces subject-version tags as an intermediary element between the search query and the document corpus. These tags act as a mediator that enables the search system to interpret and match version-intent queries with appropriate documents, bridging the gap between simple keyword matching and complex version-specific relevance.
2Reliability
If the system tags and ranks documents based on subject-versions, then version-specific search accuracy improves, but the processing time and system complexity increase
Solution Approach 1:
The system performs document tagging with subject-version tags in advance, before the search query is submitted. This preliminary classification allows the search engine to quickly retrieve and rank documents based on pre-computed version information, improving search accuracy without adding significant delay to the actual search operation.
3Measurement precision
If search results are ranked by keyword match quality, then relevant documents are returned, but version-specific information may be overshadowed by other keywords
Solution Approach 1:
The patent introduces subject-version tags as an intermediary that enables the search system to interpret version-intent in simple user queries without requiring explicit version specifications. This intermediary layer translates implicit version references in natural language queries into precise document matching, maintaining query simplicity while improving version-specific accuracy.
Data Source
AI summary
Systems, methods, and computer-readable storage media for identifying queries having a version-intent and presenting search results in accordance with the version-intent are provided. Subject-versions associated with retrievable documents are identified and associated therewith as subject-version tags. When a search query is received, it is determined whether the query has a version-intent indicative of a particular version associated with a subject of the query. Documents are retrieved that satisfy the input query and ranked for presentation based upon the particular subject-version indicated by the version-intent. The ranked documents are then presented. Also presented is a user-manipulatable tool, manipulation of which permits a user to indicate that information concerning a different subject-version is desired. Upon receiving such indication, the search results are changed such that documents having subject-version tags indicative of the newly-indicated version-intent are ranked higher and receive more prominent placement than documents lacking such subject-version tags.