Query/Document Topic Category Transition Analysis System and Method and Query Expansion-Based Information Retrieval System and Method
First Claim
1. A method of analyzing transition between a query topic category and a document topic category, comprising:
- determining a query topic category based on query/document text information with respect to a query input from a user and determining a document topic category based on query/document text information with respect to a document which a user selects from information retrieval results for the input query;
deriving a weight with respect to topic category transition between the classified query topic category and the classified document topic category; and
generating a topic category transition map as a result of analyzing topic category transition between a user query and a relevant document based on the derived weight for the topic category transition.
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Abstract
An information retrieval system and method, and more particularly, a query/document topic category transition analysis system and method in which a query topic category of a query input from a user as an information retrieval keyword and a document topic category of a document which a user regards as relevant and selects from information retrieval results are classified to analyze transition between the query topic category and the document topic category, and a query expansion-based information retrieval system and method using query/document topic category transition analysis in which a query input from a user is expanded using a topic category transition analysis result, and corresponding information or documents are retrieved using the expanded query are provided. The query expansion-based information retrieval method using query/document topic category transition analysis, includes: in a state in which a topic category transition map is generated as a result of analyzing topic category transition between a user query and a relevant document, and corresponding documents are generated as pseudo documents according to each topic category for the user query and the relevant document, determining a corresponding query topic category based on query/document text information for an input query input from a user; allocating a relevant document topic category for the classified query topic category based on the topic category transition map; ranking representative keywords for the query topic category and the relevant document topic category based on the pseudo documents; expanding the input query using the ranked representative keywords; and retrieving corresponding documents using the expanded query.
340 Citations
23 Claims
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1. A method of analyzing transition between a query topic category and a document topic category, comprising:
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determining a query topic category based on query/document text information with respect to a query input from a user and determining a document topic category based on query/document text information with respect to a document which a user selects from information retrieval results for the input query; deriving a weight with respect to topic category transition between the classified query topic category and the classified document topic category; and generating a topic category transition map as a result of analyzing topic category transition between a user query and a relevant document based on the derived weight for the topic category transition. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A query expansion-based information retrieval method using query/document topic category transition analysis, comprising:
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in a state in which a topic category transition map is generated as a result of analyzing topic category transition between a user query and a relevant document, and corresponding documents are generated as pseudo documents according to each topic category for the user query and the relevant document, determining a corresponding query topic category based on query/document text information for an input query input from a user; allocating a relevant document topic category for the classified query topic category based on the topic category transition map; ranking representative keywords for the query topic category and the relevant document topic category based on the pseudo documents; expanding the input query using the ranked representative keywords; and retrieving corresponding documents using the expanded query. - View Dependent Claims (13, 14, 15)
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16. A system for analyzing transition between a query topic category and a document topic category, comprising:
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a relevance determined document collection database which stores query/document text information; a topic category classifier which classifies a query topic category for a user query based on the query/document text information and classifies a document topic category for a document selected from information retrieval results for the user query based on the query/document text information; and a topic category transition map database which stores a topic category transition map between a user query and a relevant document which is generated based on a weight for topic category transition between the query topic category and the document topic category classified by the topic category classifier. - View Dependent Claims (17, 18, 19, 22, 23)
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20. A query expansion-based information retrieval system using query/document topic category transition analysis, comprising:
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a relevance determined document collection database which stores query/document text information; a topic category classifier which determines a query topic category for a user query based on the query/document text information and determines a document topic category for a document selected from information retrieval results for the user query based on the query/document text information; a topic category transition map database which stores a topic category transition map between a user query and a relevant document which is generated based on a weight for topic category transition between the query topic category and the document topic category classified by the topic category classifier; a query expander which expands a user query, allocates a relevant document for the classified document topic category, and ranks representative keywords for the relevant document topic category based on the pseudo documents, and expands the user query using the ranked representative keywords; and a search engine which retrieves corresponding documents using the user query expanded by the query expander. - View Dependent Claims (21)
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Specification