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ECIR
2011
Springer
12 years 9 months ago
Balancing Exploration and Exploitation in Learning to Rank Online
Abstract. As retrieval systems become more complex, learning to rank approaches are being developed to automatically tune their parameters. Using online learning to rank approaches...
Katja Hofmann, Shimon Whiteson, Maarten de Rijke
APPROX
2011
Springer
242views Algorithms» more  APPROX 2011»
12 years 6 months ago
New Tools for Graph Coloring
How to color 3 colorable graphs with few colors is a problem of longstanding interest. The best polynomial-time algorithm uses n0.2072 colors. There are no indications that colori...
Sanjeev Arora, Rong Ge
WWW
2010
ACM
14 years 1 months ago
RankCompete: simultaneous ranking and clustering of web photos
With the explosive growth of digital cameras and online media, it has become crucial to design efficient methods that help users browse and search large image collections. The rec...
Liangliang Cao, Andrey Del Pozo, Xin Jin, Jiebo Lu...
WWW
2003
ACM
14 years 7 months ago
A new paradigm for ranking pages on the world wide web
This paper describes a new paradigm for modeling traffic levels on the world wide web (WWW) using a method of entropy maximization. This traffic is subject to the conservation con...
John A. Tomlin
COLT
2001
Springer
13 years 10 months ago
Ultraconservative Online Algorithms for Multiclass Problems
In this paper we study a paradigm to generalize online classification algorithms for binary classification problems to multiclass problems. The particular hypotheses we investig...
Koby Crammer, Yoram Singer