Exploiting bilingual information to improve web search
Web search quality can vary widely across languages, even for the same information need. We propose to exploit this variation in quality by learning a ranking function on bilingual queries: queries that appear in query logs for two languages but represent equivalent search interests. For a given bil...
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Main Authors: | GAO, Wei, BITZER, John, ZHOU, Ming, WONG, Kam-Fai |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2009
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Online Access: | https://ink.library.smu.edu.sg/sis_research/4598 https://ink.library.smu.edu.sg/context/sis_research/article/5601/viewcontent/P09_1121.pdf |
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Institution: | Singapore Management University |
Language: | English |
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