EVALUATING RERANKING METHODS USING WIKIPEDIA FEATURES

被引：0
|
作者：
Kurakado, Koji [1 ]
Oishi, Tetsuya [2 ]
Hasegawa, Ryuzo [3 ]
Fujita, Hiroshi [3 ]
Koshimura, Miyuki [3 ]
机构：
[1] Kyushu Univ, Grad Sch Informat Sci & Elect Engn, Fukuoka, Fukuoka, Japan
[2] Kyushu Univ, Res Inst Informat Technol, Fukuoka, Japan
[3] Kyushu Univ, Fac Informat Sci & Elect Engn, Fukuoka, Japan
来源：
ICAART 2011: PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 1 | 2011年
关键词：
Wikipedia; Reranking; Link analysis;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Many people these days access a vast document on the Web very often with the help of search engines such as Google. However, even if we use the search engine, it is often the case that we cannot find desired information easily. In this paper, we extract related words for the search query by analyzing link information and category structure. we aim to assist the user in retrieving web pages by reranking search results.
引用
收藏
页码：376 / 381
页数：6
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