2012Journal of Suzhou UniversityRequires access

Applied Research of Information Retrieval Technology in Search Engine

Xiuyou Wang

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Abstract

With the geometric growth of the Internet information,Search engines can help people quickly and effectively to find the information they need from a flood of network information.This paper analyzes the search engine work principle,proposes improving search engine performance through distributed search technology and document classification technology.In the end,it introduces insufficient and improvement of KNN text classification algorithms.

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What this paper is about

With the geometric growth of the Internet information,Search engines can help people quickly and effectively to find the information they need from a flood of network information.This paper analyzes the search engine work principle,proposes improving search engine performance through distributed search technology and document classification technology.In the end,it introduces insufficient and improvement of KNN text classification algorithms.

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Available abstract

With the geometric growth of the Internet information,Search engines can help people quickly and effectively to find the information they need from a flood of network information.This paper analyzes the search engine work principle,proposes improving search engine performance through distributed search technology and document classification technology.In the end,it introduces insufficient and improvement of KNN text classification algorithms.

Key concepts: Search engine, Computer science, Information retrieval, Metasearch engine, The Internet, Search-oriented architecture, Search analytics, Search engine indexing

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