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ACL
2009
14 years 9 months ago
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 bilingua...
Wei Gao, John Blitzer, Ming Zhou, Kam-Fai Wong
IPM
2006
252views more  IPM 2006»
14 years 11 months ago
Automatic ranking of information retrieval systems using data fusion
Measuring effectiveness of information retrieval (IR) systems is essential for research and development and for monitoring search quality in dynamic environments. In this study, w...
Rabia Nuray, Fazli Can
KDD
2007
ACM
192views Data Mining» more  KDD 2007»
16 years 6 days ago
Active exploration for learning rankings from clickthrough data
We address the task of learning rankings of documents from search engine logs of user behavior. Previous work on this problem has relied on passively collected clickthrough data. ...
Filip Radlinski, Thorsten Joachims
ICPR
2004
IEEE
16 years 27 days ago
Compact Representation of Multidimensional Data Using Tensor Rank-One Decomposition
This paper presents a new approach for representing multidimensional data by a compact number of bases. We consider the multidimensional data as tensors instead of matrices or vec...
Hongcheng Wang, Narendra Ahuja
SIGIR
2009
ACM
15 years 6 months ago
Smoothing clickthrough data for web search ranking
Incorporating features extracted from clickthrough data (called clickthrough features) has been demonstrated to significantly improve the performance of ranking models for Web sea...
Jianfeng Gao, Wei Yuan, Xiao Li, Kefeng Deng, Jian...