EVALUATING RERANKING METHODS USING WIKIPEDIA FEATURES

Koji Kurakado, Tetsuya Oishi, Ryuzo Hasegawa, Hiroshi Fujita, Miyuki Koshimura

2011

Abstract

Many people these days access a vast document on theWeb 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.

Download


Paper Citation


in Harvard Style

Kurakado K., Oishi T., Hasegawa R., Fujita H. and Koshimura M. (2011). EVALUATING RERANKING METHODS USING WIKIPEDIA FEATURES . In Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-8425-40-9, pages 376-381. DOI: 10.5220/0003183003760381

in Bibtex Style

@conference{icaart11,
author={Koji Kurakado and Tetsuya Oishi and Ryuzo Hasegawa and Hiroshi Fujita and Miyuki Koshimura},
title={EVALUATING RERANKING METHODS USING WIKIPEDIA FEATURES},
booktitle={Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2011},
pages={376-381},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003183003760381},
isbn={978-989-8425-40-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - EVALUATING RERANKING METHODS USING WIKIPEDIA FEATURES
SN - 978-989-8425-40-9
AU - Kurakado K.
AU - Oishi T.
AU - Hasegawa R.
AU - Fujita H.
AU - Koshimura M.
PY - 2011
SP - 376
EP - 381
DO - 10.5220/0003183003760381