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ECIR
2011
Springer
14 years 10 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
KDD
2004
ACM
127views Data Mining» more  KDD 2004»
16 years 6 months ago
A generative probabilistic approach to visualizing sets of symbolic sequences
There is a notable interest in extending probabilistic generative modeling principles to accommodate for more complex structured data types. In this paper we develop a generative ...
Peter Tiño, Ata Kabán, Yi Sun
PODS
2006
ACM
107views Database» more  PODS 2006»
16 years 6 months ago
Programmable clustering
We initiate a novel study of clustering problems. Rather than specifying an explicit objective function to optimize, our framework allows the user of clustering algorithm to speci...
Sreenivas Gollapudi, Ravi Kumar, D. Sivakumar
MM
2006
ACM
152views Multimedia» more  MM 2006»
16 years 13 days ago
Local image representations using pruned salient points with applications to CBIR
Salient points are locations in an image where there is a significant variation with respect to a chosen image feature. Since the set of salient points in an image capture import...
Hui Zhang, Rouhollah Rahmani, Sharath R. Cholleti,...
JCDL
2004
ACM
198views Education» more  JCDL 2004»
15 years 12 months ago
Finding authoritative people from the web
Today’s web is so huge and diverse that it arguably reflects the real world. For this reason, searching the web is a promising approach to find things in the real world. This ...
Masanori Harada, Shin-ya Sato, Kazuhiro Kazama