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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Bibliographic Details
Main Authors: GAO, Wei, BITZER, John, ZHOU, Ming, WONG, Kam-Fai
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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