An improved KNN algorithm for vertical search engines

Authors:
Yubo Jia;Hongdan Fan;Guanghu Xia;Xing Dong
Affiliations:
Institute of Information and Electron, Zhejiang Sci.-Tech. University, Hangzhou, China;Institute of Information and Electron, Zhejiang Sci.-Tech. University, Hangzhou, China;Institute of Information and Electron, Zhejiang Sci.-Tech. University, Hangzhou, China;Institute of Information and Electron, Zhejiang Sci.-Tech. University, Hangzhou, China
Venue:
WISM'11 Proceedings of the 2011 international conference on Web information systems and mining - Volume Part II
Year:
2011

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Abstract

Secondary Data Processing deals the information further by recrawling and categories based on the basic of structured data. It is the key researching module of Vertical Search Engines. This paper proposes an improved KNN algorithm for the categories. This algorithm achieves the responsiveness and the accuracy of vertical search by reducing the time complexity and accelerating the speed of classification. The experiment proved the improved algorithm has the better feasibility and robustness when it's used in secondary data processing and participle of vertical search engines.