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NIPS
1997
13 years 11 months ago
Learning to Order Things
There are many applications in which it is desirable to order rather than classify instances. Here we consider the problem of learning how to order, given feedback in the form of ...
William W. Cohen, Robert E. Schapire, Yoram Singer
VLDB
2004
ACM
138views Database» more  VLDB 2004»
14 years 3 months ago
ObjectRank: Authority-Based Keyword Search in Databases
The ObjectRank system applies authority-based ranking to keyword search in databases modeled as labeled graphs. Conceptually, authority originates at the nodes (objects) containin...
Andrey Balmin, Vagelis Hristidis, Yannis Papakonst...
CORR
2008
Springer
133views Education» more  CORR 2008»
13 years 10 months ago
Faceted Ranking of Egos in Collaborative Tagging Systems
Multimedia uploaded content is tagged and recommended by users of collaborative systems, resulting in informal classifications also known as folksonomies. Faceted web ranking has ...
José Ignacio Orlicki, Pablo Ignacio Fierens...
COLING
2010
13 years 4 months ago
Cross-Market Model Adaptation with Pairwise Preference Data for Web Search Ranking
Machine-learned ranking techniques automatically learn a complex document ranking function given training data. These techniques have demonstrated the effectiveness and flexibilit...
Jing Bai, Fernando Diaz, Yi Chang, Zhaohui Zheng, ...
ICDE
2012
IEEE
246views Database» more  ICDE 2012»
12 years 8 days ago
HiCS: High Contrast Subspaces for Density-Based Outlier Ranking
—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...
Fabian Keller, Emmanuel Müller, Klemens B&oum...