Joint ranking for multilingual web search

Joint ranking for multilingual web search

Ranking for multilingual information retrieval (MLIR) is a task to rank documents of different languages solely based on their relevancy to the query regardless of query’s language. Existing approaches are focused on combining relevance scores of different retrieval settings, but do not learn the ra...

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Bibliographic Details
Main Authors: GAO, Wei, NIU, Cheng, ZHOU, Ming, WONG, Kam-Fai
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2009
Subjects:
Databases and Information Systems
Online Access:https://ink.library.smu.edu.sg/sis_research/4599
https://ink.library.smu.edu.sg/context/sis_research/article/5602/viewcontent/Gao2009_Chapter_JointRankingForMultilingualWeb.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/4599
https://ink.library.smu.edu.sg/context/sis_research/article/5602/viewcontent/Gao2009_Chapter_JointRankingForMultilingualWeb.pdf

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