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» Learning to rank for information retrieval (LR4IR 2008)
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SIGIR
2006
ACM
16 years 4 days 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
14 years 9 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,...
IPM
2008
114views more  IPM 2008»
15 years 6 months ago
User-assisted query translation for interactive cross-language information retrieval
Interactive Cross-Language Information Retrieval (CLIR), a process in which searcher and system collaborate to find documents that satisfy an information need regardless of the la...
Douglas W. Oard, Daqing He, Jianqiang Wang
IR
2006
15 years 6 months ago
Table extraction for answer retrieval
The ability to find tables and extract information from them is a necessary component of many information retrieval tasks. Documents often contain tables in order to communicate d...
Xing Wei, W. Bruce Croft, Andrew McCallum
CORR
2008
Springer
133views Education» more  CORR 2008»
15 years 6 months ago
Faceted Ranking of Egos in Collaborative Tagging Systems
Multimedia uploaded content is tagged and recommended by users of collaborative systems, resulting in informal classifications also known as folksonomies. Faceted web ranking has ...
José Ignacio Orlicki, Pablo Ignacio Fierens...