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CIKM
2010
Springer
14 years 8 months ago
Learning to rank relevant and novel documents through user feedback
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
Abhimanyu Lad, Yiming Yang
IWRIDL
2006
ACM
149views Education» more  IWRIDL 2006»
15 years 3 months ago
From CLIR to CLIE: some lessons in NTCIR evaluation
Cross-language information retrieval (CLIR) facilitates the use of one language to access documents in other languages. Crosslanguage information extraction (CLIE) extracts releva...
Hsin-Hsi Chen
GROUP
2007
ACM
15 years 1 months ago
That's what friends are for: facilitating 'who knows what' across group boundaries
We describe the design and evaluation of K-net, a social matching system to help people learn 'who knows what' in an organization by matching people with skills with tho...
N. Sadat Shami, Y. Connie Yuan, Dan Cosley, Ling X...
WSDM
2012
ACM
267views Data Mining» more  WSDM 2012»
13 years 5 months ago
Learning to rank with multi-aspect relevance for vertical search
Many vertical search tasks such as local search focus on specific domains. The meaning of relevance in these verticals is domain-specific and usually consists of multiple well-d...
Changsung Kang, Xuanhui Wang, Yi Chang, Belle L. T...
WWW
2005
ACM
15 years 10 months ago
Ontology-based learning content repurposing
This paper investigates basic research issues that need to be addressed for developing an architecture that enables repurposing of learning objects in a flexible way. Currently, t...
Katrien Verbert, Dragan Gasevic, Jelena Jovanovic,...