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WWW
2011
ACM
14 years 7 months ago
Learning to rank with multiple objective functions
We investigate the problem of learning to rank for document retrieval from the perspective of learning with multiple objective functions. We present solutions to two open problems...
Krysta Marie Svore, Maksims Volkovs, Christopher J...
102
Voted
ERCIMDL
2003
Springer
109views Education» more  ERCIMDL 2003»
15 years 5 months ago
Clustering Top-Ranking Sentences for Information Access
Abstract. In this paper we propose the clustering of top-ranking sentences (TRS) for effective information access. Top-ranking sentences are selected by a query-biased sentence ex...
Anastasios Tombros, Joemon M. Jose, Ian Ruthven
CLEF
2008
Springer
15 years 2 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
114
Voted
ICDE
2010
IEEE
252views Database» more  ICDE 2010»
16 years 7 days ago
Semantic Ranking and Result Visualization for Life Sciences Publications
An ever-increasing amount of data and semantic knowledge in the domain of life sciences is bringing about new data management challenges. In this paper we focus on adding the seman...
Julia Stoyanovich, Kenneth A. Ross, William Mee
128
Voted
INEX
2007
Springer
15 years 6 months ago
Overview of the INEX 2007 Entity Ranking Track
Abstract. Many realistic user tasks involve the retrieval of specific entities instead of just any type of documents. Examples of information needs include ‘Countries where one ...
Arjen P. de Vries, Anne-Marie Vercoustre, James A....