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» Learning from Logged Implicit Exploration Data
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PROFES
2010
Springer
15 years 4 months ago
Regularities in Learning Defect Predictors
Collecting large consistent data sets for real world software projects is problematic. Therefore, we explore how little data are required before the predictor performance plateaus...
Burak Turhan, Ayse Basar Bener, Tim Menzies
132
Voted
IEAAIE
2010
Springer
14 years 10 months ago
Web Usage Mining for Improving Students Performance in Learning Management Systems
An innovative technique based on multi-objective grammar guided genetic programming (MOG3P-MI) is proposed to detect the most relevant activities that a student needs to pass a cou...
Amelia Zafra, Sebastián Ventura
WWW
2010
ACM
15 years 7 months ago
Beyond position bias: examining result attractiveness as a source of presentation bias in clickthrough data
Leveraging clickthrough data has become a popular approach for evaluating and optimizing information retrieval systems. Although data is plentiful, one must take care when interpr...
Yisong Yue, Rajan Patel, Hein Roehrig
66
Voted
KDD
2005
ACM
86views Data Mining» more  KDD 2005»
16 years 1 months ago
Probabilistic workflow mining
In several organizations, it has become increasingly popular to document and log the steps that makeup a typical business process. In some situations, a normative workflow model o...
Ricardo Silva, Jiji Zhang, James G. Shanahan
148
Voted
SIGIR
2012
ACM
13 years 3 months ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng