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» Novelty and diversity in information retrieval evaluation
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WWW
2009
ACM
14 years 8 months ago
Visual diversification of image search results
Due to the reliance on the textual information associated with an image, image search engines on the Web lack the discriminative power to deliver visually diverse search results. ...
Reinier H. van Leuken, Lluis Garcia Pueyo, Ximena ...
ECIR
2010
Springer
13 years 9 months ago
Using the Quantum Probability Ranking Principle to Rank Interdependent Documents
A known limitation of the Probability Ranking Principle (PRP) is that it does not cater for dependence between documents. Recently, the Quantum Probability Ranking Principle (QPRP)...
Guido Zuccon, Leif Azzopardi
CLEF
2009
Springer
13 years 5 months ago
Overview of the WikipediaMM Task at ImageCLEF 2009
ImageCLEF's wikipediaMM task provides a testbed for the system-oriented evaluation of multimedia information retrieval from a collection of Wikipedia images. The aim is to in...
Theodora Tsikrika, Jana Kludas
CIKM
2009
Springer
13 years 5 months ago
Probabilistic models of ranking novel documents for faceted topic retrieval
Traditional models of information retrieval assume documents are independently relevant. But when the goal is retrieving diverse or novel information about a topic, retrieval mode...
Ben Carterette, Praveen Chandar
WSDM
2012
ACM
236views Data Mining» more  WSDM 2012»
12 years 3 months ago
Effective query formulation with multiple information sources
Most standard information retrieval models use a single source of information (e.g., the retrieval corpus) for query formulation tasks such as term and phrase weighting and query ...
Michael Bendersky, Donald Metzler, W. Bruce Croft