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» Joint Ranking for Multilingual Web Search
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ECIR
2009
Springer
14 years 2 months ago
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 langu...
Wei Gao, Cheng Niu, Ming Zhou, Kam-Fai Wong
LREC
2010
150views Education» more  LREC 2010»
13 years 6 months ago
A Corpus for Evaluating Semantic Multilingual Web Retrieval Systems: The Sense Folder Corpus
In this paper, we present the multilingual Sense Folder Corpus. After the analysis of different corpora, we describe the requirements that have to be satisfied for evaluating sema...
Ernesto William De Luca
WSDM
2010
ACM
194views Data Mining» more  WSDM 2010»
14 years 2 months ago
Ranking with Query-Dependent Loss for Web Search
Queries describe the users' search intent and therefore they play an essential role in the context of ranking for information retrieval and Web search. However, most of exist...
Jiang Bian, Tie-Yan Liu, Tao Qin, Hongyuan Zha
KDD
2010
ACM
257views Data Mining» more  KDD 2010»
13 years 8 months ago
Multi-task learning for boosting with application to web search ranking
In this paper we propose a novel algorithm for multi-task learning with boosted decision trees. We learn several different learning tasks with a joint model, explicitly addressing...
Olivier Chapelle, Pannagadatta K. Shivaswamy, Srin...
CVPR
2009
IEEE
15 years 2 days ago
Boosted Multi-Task Learning for Face Verification With Applications to Web Image and Video Search
Face verification has many potential applications including filtering and ranking image/video search results on celebrities. Since these images/videos are taken under uncontrolle...
Xiaogang Wang (MIT), Cha Zhang (Microsoft Research...