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» A new family of online algorithms for category ranking
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SIGIR
2002
ACM
9 years 3 months ago
A new family of online algorithms for category ranking
We describe a new family of topic-ranking algorithms for multi-labeled documents. The motivation for the algorithms stems from recent advances in online learning algorithms. The a...
Koby Crammer, Yoram Singer
COLT
2005
Springer
9 years 6 months ago
Loss Bounds for Online Category Ranking
Category ranking is the task of ordering labels with respect to their relevance to an input instance. In this paper we describe and analyze several algorithms for online category r...
Koby Crammer, Yoram Singer
WWW
2008
ACM
10 years 4 months ago
First workshop on targeting and ranking for online advertising
Online advertising is a rapidly growing, multi-billion dollar industry. It has become a significant element of the Web browsing experience. Ad platforms used for ad selection use ...
Ewa Dominowska, Vanja Josifovski
DKE
2007
111views more  DKE 2007»
9 years 3 months ago
Category ranking for personalized search
Despite the effectiveness of search engines, the persistently increasing amount of web data continuously obscures the search task. Efforts have thus concentrated on personalized...
Christos Makris, Yannis Panagis, Evangelos Sakkopo...
CVPR
2006
IEEE
10 years 6 months ago
Shape Topics: A Compact Representation and New Algorithms for 3D Partial Shape Retrieval
This paper develops an efficient new method for 3D partial shape retrieval. First, a Monte Carlo sampling strategy is employed to extract local shape signatures from each 3D model...
Yi Liu, Hongbin Zha, Hong Qin
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