Abstract
We often use search engines in order to find appropriate documents on the Web. However, it is often the case that we cannot find desired information easily by giving a single query. In this paper, we present a method to extract related words for the query by using the various features of Wikipedia and rank learning. We aim at developing a system to assist the user in retrieving Web pages by reranking search results.
| Original language | English |
|---|---|
| Title of host publication | ICAART 2012 - Proceedings of the 4th International Conference on Agents and Artificial Intelligence |
| Pages | 277-282 |
| Number of pages | 6 |
| Volume | 1 |
| Publication status | Published - 2012 |
| Event | 4th International Conference on Agents and Artificial Intelligence, ICAART 2012 - Vilamoura, Algarve, Portugal Duration: Feb 6 2012 → Feb 8 2012 |
Other
| Other | 4th International Conference on Agents and Artificial Intelligence, ICAART 2012 |
|---|---|
| Country | Portugal |
| City | Vilamoura, Algarve |
| Period | 2/6/12 → 2/8/12 |
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All Science Journal Classification (ASJC) codes
- Artificial Intelligence
Cite this
Evaluating reranking methods based onlink co-occurrence and category in Wikipedia. / Takiguchi, Yuichi; Kurakado, Koji; Oishi, Tetsuya; Koshimura, Miyuki; Fujita, Hiroshi; Hasegawa, Ryuzo.
ICAART 2012 - Proceedings of the 4th International Conference on Agents and Artificial Intelligence. Vol. 1 2012. p. 277-282.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Evaluating reranking methods based onlink co-occurrence and category in Wikipedia
AU - Takiguchi, Yuichi
AU - Kurakado, Koji
AU - Oishi, Tetsuya
AU - Koshimura, Miyuki
AU - Fujita, Hiroshi
AU - Hasegawa, Ryuzo
PY - 2012
Y1 - 2012
N2 - We often use search engines in order to find appropriate documents on the Web. However, it is often the case that we cannot find desired information easily by giving a single query. In this paper, we present a method to extract related words for the query by using the various features of Wikipedia and rank learning. We aim at developing a system to assist the user in retrieving Web pages by reranking search results.
AB - We often use search engines in order to find appropriate documents on the Web. However, it is often the case that we cannot find desired information easily by giving a single query. In this paper, we present a method to extract related words for the query by using the various features of Wikipedia and rank learning. We aim at developing a system to assist the user in retrieving Web pages by reranking search results.
UR - http://www.scopus.com/inward/record.url?scp=84862152877&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84862152877&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84862152877
SN - 9789898425959
VL - 1
SP - 277
EP - 282
BT - ICAART 2012 - Proceedings of the 4th International Conference on Agents and Artificial Intelligence
ER -