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ECIR
1998
Springer
13 years 6 months ago
Independence of Contributing Retrieval Strategies in Data Fusion for Effective Information Retrieval
: In information retrieval, data fusion is a technique for combining the outputs of more than one retrieval strategy which rank documents for retrieval. One of the observations oft...
Alan F. Smeaton
ECIR
2008
Springer
13 years 6 months ago
Expert Search Evaluation by Supporting Documents
An expert search system assists users with their "expertise need" by suggesting people with relevant expertise to their query. Most systems work by ranking documents in r...
Craig Macdonald, Iadh Ounis
CLEF
2008
Springer
13 years 6 months ago
Ontology-Based Query Construction for GeoCLEF
This paper describes our participation in GeoCLEF. Being different from the traditional information retrieval, we focus more on the query expansion instead of document ranking. We ...
Rui Wang 0005, Günter Neumann
SIGIR
1999
ACM
13 years 9 months ago
Using a Belief Revision Operator for Document Ranking in Extended Boolean Models
This paper claims that Belief Revision can be seen as a theoretical framework for document ranking in Extended Boolean Models. For a model of Information Retrieval based on propos...
David E. Losada, Alvaro Barreiro
WISE
2005
Springer
13 years 10 months ago
Document Re-ranking by Generality in Bio-medical Information Retrieval
Document ranking is well known to be a crucial process in information retrieval (IR). It presents retrieved documents in an order of their estimated degrees of relevance to query. ...
Xin Yan, Xue Li, Dawei Song
SIGIR
2009
ACM
13 years 11 months ago
Portfolio theory of information retrieval
This paper studies document ranking under uncertainty. It is tackled in a general situation where the relevance predictions of individual documents have uncertainty, and are depen...
Jun Wang, Jianhan Zhu
ECIR
2009
Springer
14 years 2 months ago
Mean-Variance Analysis: A New Document Ranking Theory in Information Retrieval
Abstract. This paper concerns document ranking in information retrieval. In information retrieval systems, the widely accepted probability ranking principle (PRP) suggests that, fo...
Jun Wang