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How to Rank Two-Level Documents in Natural Language Information Retrieval
How to Rank Two-Level Documents in Natural Language Information Retrieval
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机译：如何在自然语言信息检索中对二级文档进行排名
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摘要
The present invention relates to a method for determining a document rank secondarily by using mutual information on documents retrieved first, prior to presenting an ordered document to a user in an information search, A first step of performing a first natural language search by index information that has been subjected to automatic document context indexing; a second step of determining a ranked candidate document searched for primarily; A third step of calculating a weight of a query and a document with respect to the uppermost documents among the searched alignment documents, and a fourth step of rearranging the documents based on the weight of the document. Therefore, The present invention is applied to the field of information retrieval based on text, which is effective in improving retrieval efficiency.
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