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ECIR
2010
Springer
14 years 11 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...
WWW
2011
ACM
14 years 4 months ago
Learning to re-rank: query-dependent image re-ranking using click data
Our objective is to improve the performance of keyword based image search engines by re-ranking their baseline results. To this end, we address three limitations of existing searc...
Vidit Jain, Manik Varma
CIKM
2005
Springer
15 years 3 months ago
Discretization based learning approach to information retrieval
We approached the problem as learning how to order documents by estimated relevance with respect to a user query. Our support vector machines based classifier learns from the rele...
Dmitri Roussinov, Weiguo Fan, Fernando A. Das Neve...
KDD
2002
ACM
169views Data Mining» more  KDD 2002»
15 years 10 months ago
Optimizing search engines using clickthrough data
This paper presents an approach to automatically optimizing the retrieval quality of search engines using clickthrough data. Intuitively, a good information retrieval system shoul...
Thorsten Joachims
CIKM
2010
Springer
14 years 7 months ago
Web search solved?: all result rankings the same?
The objective of this work is to derive quantitative statements about what fraction of web search queries issued to the state-of-the-art commercial search engines lead to excellen...
Hugo Zaragoza, Berkant Barla Cambazoglu, Ricardo A...