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» Relevance Ranking Using Kernels
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118
Voted
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
16 years 3 months ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims
181
Voted
TAL
2010
Springer
15 years 1 months ago
Concept Based Representations for Ranking in Geographic Information Retrieval
Abstract. Geographic Information Retrieval (GIR) is a specialized Information Retrieval (IR) branch that deals with information related to geographical locations. Traditional IR en...
Maya Carrillo, Esaú Villatoro-Tello, Aureli...
129
Voted
ICML
2003
IEEE
16 years 3 months ago
Discriminative Gaussian Mixture Models: A Comparison with Kernel Classifiers
We show that a classifier based on Gaussian mixture models (GMM) can be trained discriminatively to improve accuracy. We describe a training procedure based on the extended Baum-W...
Aldebaro Klautau, Nikola Jevtic, Alon Orlitsky
119
Voted
KDD
2009
ACM
184views Data Mining» more  KDD 2009»
15 years 9 months ago
Thumbs-Up: a game for playing to rank search results
Human computation is an effective way to channel human effort spent playing games to solving computational problems that are easy for humans but difficult for computers to autom...
Ali Dasdan, Chris Drome, Santanu Kolay, Micah Alpe...
116
Voted
ACMICEC
2006
ACM
148views ECommerce» more  ACMICEC 2006»
15 years 8 months ago
Web based information for product ranking in e-business: a fuzzy approach
In this paper we have introduced a methodology to rank the available products in the Internet market. These rankings are based on the customers’ own preferences and also on the ...
B. K. Mohanty, K. Passi