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 |
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
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Cite this
Takiguchi, Y., Kurakado, K., Oishi, T., Koshimura, M., Fujita, H., & Hasegawa, R. (2012). Evaluating reranking methods based onlink co-occurrence and category in Wikipedia. In ICAART 2012 - Proceedings of the 4th International Conference on Agents and Artificial Intelligence (Vol. 1, pp. 277-282)