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SIGIR
2005
ACM
15 years 3 months ago
When will information retrieval be "good enough"?
We describe a user study that examined the relationship between the quality of an Information Retrieval system and the effectiveness of its users in performing a task. The task i...
James Allan, Ben Carterette, Joshua Lewis
SIGMOD
2011
ACM
219views Database» more  SIGMOD 2011»
14 years 7 days ago
Context-sensitive ranking for document retrieval
We study the problem of context-sensitive ranking for document retrieval, where a context is defined as a sub-collection of documents, and is specified by queries provided by do...
Liang Jeff Chen, Yannis Papakonstantinou
MIR
2006
ACM
200views Multimedia» more  MIR 2006»
15 years 3 months ago
An adaptive graph model for automatic image annotation
Automatic keyword annotation is a promising solution to enable more effective image search by using keywords. In this paper, we propose a novel automatic image annotation method b...
Jing Liu, Mingjing Li, Wei-Ying Ma, Qingshan Liu, ...
CLEF
2007
Springer
15 years 3 months ago
Using Centrality to Rank Web Snippets
We describe our participation in the WebCLEF 2007 task, targeted at snippet retrieval from web data. Our system ranks snippets based on a simple similarity-based centrality, inspir...
Valentin Jijkoun, Maarten de Rijke
ECIR
2011
Springer
14 years 28 days ago
Back to the Roots: Mean-Variance Analysis of Relevance Estimations
Recently, mean-variance analysis has been proposed as a novel paradigm to model document ranking in Information Retrieval. The main merit of this approach is that it diversifies t...
Guido Zuccon, Leif Azzopardi, Keith van Rijsbergen