Joint ranking for multilingual web search

• 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
• Institution: Singapore Management University

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...