TY - GEN
T1 - Evaluating reranking methods using wikipedia features
AU - Kurakado, Koji
AU - Oishi, Tetsuya
AU - Hasegawa, Ryuzo
AU - Fujita, Hiroshi
AU - Koshimura, Miyuki
PY - 2011/7/14
Y1 - 2011/7/14
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=79960148772&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79960148772&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:79960148772
SN - 9789898425409
T3 - ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence
SP - 376
EP - 381
BT - ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence
T2 - 3rd International Conference on Agents and Artificial Intelligence, ICAART 2011
Y2 - 28 January 2011 through 30 January 2011
ER -