Entity-Based Classification of Web Page in Search Engine

被引：0

作者：

Liu, Yicen ^{[1
]}

Liu, Mingrong ^{[1
]}

Xiang, Liang ^{[1
]}

Yang, Qing ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China

来源：

Digital Libraries: Universal and Ubiquitous Access to Information, Proceedings | 2008年 / 5362卷

关键词：

information retrieval; web-page classification; entity system;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

There are several difficulties in integrating traditional classification approaches in a search engine. This paper presents an Entity-Based Web Page Classification Algorithm, which can be embedded in search engine easily. In the algorithm, we build up an Entity System to classify web pages immediately before indexing jobs. It is an assistant system used in text feature selection and can be updated incrementally. Experimental results show its efficiency, compared to the traditional ones and has a good performance.

引用

页码：410 / 411

页数：2

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