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» Parallel learning to rank for information retrieval
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SIGIR
2006
ACM
14 years 1 months ago
Learning user interaction models for predicting web search result preferences
Evaluating user preferences of web search results is crucial for search engine development, deployment, and maintenance. We present a real-world study of modeling the behavior of ...
Eugene Agichtein, Eric Brill, Susan T. Dumais, Rob...
SIGIR
2011
ACM
12 years 10 months ago
Learning search tasks in queries and web pages via graph regularization
As the Internet grows explosively, search engines play a more and more important role for users in effectively accessing online information. Recently, it has been recognized that ...
Ming Ji, Jun Yan, Siyu Gu, Jiawei Han, Xiaofei He,...
BMCBI
2008
116views more  BMCBI 2008»
13 years 7 months ago
MScanner: a classifier for retrieving Medline citations
Background: Keyword searching through PubMed and other systems is the standard means of retrieving information from Medline. However, ad-hoc retrieval systems do not meet all of t...
Graham L. Poulter, Daniel L. Rubin, Russ B. Altman...
JODS
2008
424views Data Mining» more  JODS 2008»
13 years 7 months ago
Semantically Processing Parallel Colour Descriptions
Information integration and retrieval are useful tasks in many information systems. In these systems, it is far from an easy task to directly integrate information from natural lan...
Shenghui Wang, Jeff Z. Pan
IPM
2006
171views more  IPM 2006»
13 years 7 months ago
Automatic extraction of bilingual word pairs using inductive chain learning in various languages
In this paper, we propose a new learning method for extracting bilingual word pairs from parallel corpora in various languages. In cross-language information retrieval, the system...
Hiroshi Echizen-ya, Kenji Araki, Yoshio Momouchi