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» Optimizing web search using web click-through data
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WWW
2006
ACM
16 years 2 months ago
Large-scale text categorization by batch mode active learning
Large-scale text categorization is an important research topic for Web data mining. One of the challenges in large-scale text categorization is how to reduce the amount of human e...
Steven C. H. Hoi, Rong Jin, Michael R. Lyu
FCCM
2011
IEEE
311views VLSI» more  FCCM 2011»
14 years 5 months ago
String Matching in Hardware Using the FM-Index
—String matching is a ubiquitous problem that arises in a wide range of applications in computing, e.g., packet routing, intrusion detection, web querying, and genome analysis. D...
Edward Fernandez, Walid Najjar, Stefano Lonardi
PKDD
2010
Springer
183views Data Mining» more  PKDD 2010»
15 years 10 days ago
Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes
Abstract. In preference learning, the algorithm observes pairwise relative judgments (preference) between items as training data for learning an ordering of all items. This is an i...
Zhao Xu, Kristian Kersting, Thorsten Joachims
WWW
2010
ACM
15 years 8 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
MIDDLEWARE
2004
Springer
15 years 7 months ago
A Content Model for Evaluating Peer-to-Peer Searching Techniques
Simulation studies are frequently used to evaluate new peer-to-peer searching techniques as well as existing techniques on new applications. Unless these studies are accurate in th...
Brian F. Cooper