2011Computer Systems and ApplicationsRequires access

Research and Implementation of Information Retrieval Based on Meta Search Engine

Ying Zhang

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Abstract

The paper introduces a method of multi-information similarity,based on the analysis of the Chinese Question-Answering System.And then the upcoming module of answer extraction could use the result set of candidacy from information retrieval to satisfy user's needs by rank of result set.The experiment shows that this method improves accuracy in retrieval of Web pages.

About this research paper

What this paper is about

The paper introduces a method of multi-information similarity,based on the analysis of the Chinese Question-Answering System.And then the upcoming module of answer extraction could use the result set of candidacy from information retrieval to satisfy user's needs by rank of result set.The experiment shows that this method improves accuracy in retrieval of Web pages.

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Method / approach

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Available abstract

The paper introduces a method of multi-information similarity,based on the analysis of the Chinese Question-Answering System.And then the upcoming module of answer extraction could use the result set of candidacy from information retrieval to satisfy user's needs by rank of result set.The experiment shows that this method improves accuracy in retrieval of Web pages.

Key concepts: Computer science, Information retrieval, Search engine, Set (abstract data type), Question answering, Similarity (geometry), Rank (graph theory), Metasearch engine

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