Improving Search Performance : A Lesson Learned from Evaluating Search Engines Using Thai Queries(<Special Section>Knowledge, Information and Creativity Support System)
スポンサーリンク
概要
- 論文の詳細を見る
This study initiates a systematic evaluation of web search engine performance using queries written in Thai. Statistical testing indicates that there are some significant differences in the performance of search engines. In addition to compare the search performance, an analysis of the returned results is carried out. The analysis of the returned results shows that the majority of returned results are unique to a particular search engine and each system provides quite different results. This encourages the use of metasearch techniques to combine the search results in order to improve the performance and reliability in finding relevant documents. We examine several metasearch models based on the Borda count and Condorcet voting schemes. We also propose the use of Evolutionary Programming (EP) to optimize weight vectors used by the voting algorithms. The results show that the use of metasearch approaches produces superior performance compared to any single search engine on Thai queries.
- 社団法人電子情報通信学会の論文
- 2007-10-01
著者
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Isahara Hitoshi
National Inst. Information And Communications Technol. Kyoto Jpn
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Isahara Hitoshi
Nict
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Sornlertlamvanich Virach
Nict Asia Research Center
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Sornlertlamvanich Virach
Thai Computational Linguistics Laboratory Nict Asia Research Center
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TONGCHIM Shisanu
Thai Computational Linguistics Laboratory, NICT Asia Research Center
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Tongchim Shisanu
Thai Computational Linguistics Laboratory Nict Asia Research Center
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