Evaluating reranking methods based onlink co-occurrence and category in Wikipedia

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationICAART 2012 - Proceedings of the 4th International Conference on Agents and Artificial Intelligence
Pages277-282
Number of pages6
Volume1
Publication statusPublished - 2012
Event4th International Conference on Agents and Artificial Intelligence, ICAART 2012 - Vilamoura, Algarve, Portugal
Duration: Feb 6 2012Feb 8 2012

Other

Other4th International Conference on Agents and Artificial Intelligence, ICAART 2012
CountryPortugal
CityVilamoura, Algarve
Period2/6/122/8/12

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)