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131
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SDM
2009
SIAM
220views Data Mining» more  SDM 2009»
15 years 10 months ago
Bayesian Cluster Ensembles.
Cluster ensembles provide a framework for combining multiple base clusterings of a dataset to generate a stable and robust consensus clustering. There are important variants of th...
Hongjun Wang, Hanhuai Shan, Arindam Banerjee
98
Voted
ECIR
2009
Springer
15 years 10 months ago
Synchronous Collaborative Information Retrieval: Techniques and Evaluation
Synchronous Collaborative Information Retrieval refers to systems that support multiple users searching together at the same time in order to satisfy a shared information need. To ...
Colum Foley, Alan F. Smeaton
95
Voted
ECIR
2009
Springer
15 years 10 months ago
Risk-Aware Information Retrieval
Probabilistic retrieval models usually rank documents based on a scalar quantity. However, such models lack any estimate for the uncertainty associated with a document’s rank. Fu...
Jianhan Zhu, Jun Wang, Michael J. Taylor, Ingemar ...
123
Voted
ECIR
2009
Springer
15 years 10 months ago
Active Sampling for Rank Learning via Optimizing the Area under the ROC Curve
Abstract. Learning ranking functions is crucial for solving many problems, ranging from document retrieval to building recommendation systems based on an individual user’s prefer...
Pinar Donmez, Jaime G. Carbonell
84
Voted
ICWS
2009
IEEE
15 years 10 months ago
Towards Probabilistic Estimation of Quality of Online Services
Accurate estimation of quality of online services is both an important and difficult problem, since a service has many interdependent quality attributes influenced by several co...
Le-Hung Vu, Karl Aberer