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» Swarming to rank for information retrieval
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SIGIR
2002
ACM
13 years 8 months ago
Term-specific smoothing for the language modeling approach to information retrieval: the importance of a query term
This paper follows a formal approach to information retrieval based on statistical language models. By introducing some simple reformulations of the basic language modeling approa...
Djoerd Hiemstra
GECCO
2007
Springer
209views Optimization» more  GECCO 2007»
14 years 3 months ago
Kernel based automatic clustering using modified particle swarm optimization algorithm
This paper introduces a method for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring clusters. The proposed ...
Ajith Abraham, Swagatam Das, Amit Konar
ECIR
2006
Springer
13 years 10 months ago
Authoritative Re-ranking of Search Results
We examine the use of authorship information in information retrieval for closed communities by extracting expert rankings for queries. We demonstrate that these rankings can be us...
Toine Bogers, Antal van den Bosch
WWW
2008
ACM
14 years 9 months ago
Learning to rank relational objects and its application to web search
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
ECIR
2010
Springer
13 years 10 months ago
A Case for Automatic System Evaluation
Ranking a set retrieval systems according to their retrieval effectiveness without relying on relevance judgments was first explored by Soboroff et al. [13]. Over the years, a numb...
Claudia Hauff, Djoerd Hiemstra, Leif Azzopardi, Fr...