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SIGIR
2009
ACM
15 years 7 months ago
Risky business: modeling and exploiting uncertainty in information retrieval
Most retrieval models estimate the relevance of each document to a query and rank the documents accordingly. However, such an approach ignores the uncertainty associated with the ...
Jianhan Zhu, Jun Wang, Ingemar J. Cox, Michael J. ...
91
Voted
ECIR
2008
Springer
15 years 2 months ago
Workshop on Novel Methodologies for Evaluation in Information Retrieval
Information retrieval is an empirical science; the field cannot move forward unless there are means of evaluating the innovations devised by researchers. However the methodologies...
Mark Sanderson, Martin Braschler, Nicola Ferro, Ju...
93
Voted
JASIS
2008
123views more  JASIS 2008»
15 years 24 days ago
Democratic theory in library information science
: A recent article by Joseph Buschman regrets that democratic theory is an unfinished idea. The argument appears to assume an essential relationship between library information sci...
Michael K. Buckland
DKE
2007
82views more  DKE 2007»
15 years 24 days ago
Eliciting information for product modeling using process modeling
A product model is a formal and structured definition of product information. The most common procedure for defining a product data model is to first describe the business and/...
Ghang Lee, Charles M. Eastman, Rafael Sacks
108
Voted
SIGIR
2006
ACM
15 years 6 months ago
Semantic term matching in axiomatic approaches to information retrieval
A common limitation of many retrieval models, including the recently proposed axiomatic approaches, is that retrieval scores are solely based on exact (i.e., syntactic) matching o...
Hui Fang, ChengXiang Zhai