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CIVR
2006
Springer
201views Image Analysis» more  CIVR 2006»
13 years 9 months ago
Efficient Margin-Based Rank Learning Algorithms for Information Retrieval
Learning a good ranking function plays a key role for many applications including the task of (multimedia) information retrieval. While there are a few rank learning methods availa...
Rong Yan, Alexander G. Hauptmann
ICTIR
2009
Springer
14 years 22 hour ago
The Quantum Probability Ranking Principle for Information Retrieval
Abstract. While the Probability Ranking Principle for Information Retrieval provides the basis for formal models, it makes a very strong assumption regarding the dependence between...
Guido Zuccon, Leif Azzopardi, Keith van Rijsbergen
SIGIR
2009
ACM
13 years 12 months ago
Portfolio theory of information retrieval
This paper studies document ranking under uncertainty. It is tackled in a general situation where the relevance predictions of individual documents have uncertainty, and are depen...
Jun Wang, Jianhan Zhu
IRAL
2003
ACM
13 years 10 months ago
Temporal ranking for fresh information retrieval
In business, the retrieval of up-to-date, or fresh, information is very important. It is difficult for conventional search engines based on a centralized architecture to retrieve ...
Nobuyoshi Sato, Minoru Uehara, Yoshifumi Sakai
SIGIR
2008
ACM
13 years 5 months ago
Combining document- and paragraph-based entity ranking
We study entity ranking on the INEX entity track and propose a simple graph-based ranking approach that enables to combine scores on document and paragraph level. The combined app...
Henning Rode, Pavel Serdyukov, Djoerd Hiemstra