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KDD
2009
ACM
152views Data Mining» more  KDD 2009»
14 years 9 months ago
TANGENT: a novel, 'Surprise me', recommendation algorithm
Most of recommender systems try to find items that are most relevant to the older choices of a given user. Here we focus on the "surprise me" query: A user may be bored ...
Kensuke Onuma, Hanghang Tong, Christos Faloutsos
KDD
2009
ACM
269views Data Mining» more  KDD 2009»
14 years 9 months ago
Extracting discriminative concepts for domain adaptation in text mining
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
Bo Chen, Wai Lam, Ivor Tsang, Tak-Lam Wong
SIGMOD
2008
ACM
139views Database» more  SIGMOD 2008»
14 years 9 months ago
SQAK: doing more with keywords
Today's enterprise databases are large and complex, often relating hundreds of entities. Enabling ordinary users to query such databases and derive value from them has been o...
Sandeep Tata, Guy M. Lohman
VRST
2009
ACM
14 years 3 months ago
Judgment of natural perspective projections in head-mounted display environments
The display units integrated in todays head-mounted displays (HMDs) provide only a limited field of view (FOV) to the virtual world. In order to present an undistorted view to th...
Frank Steinicke, Gerd Bruder, Klaus Hinrichs, Scot...
LOPSTR
2004
Springer
14 years 2 months ago
A Generic Framework for Context-Sensitive Analysis of Modular Programs
Abstract. Context-sensitive analysis provides information which is potentially more accurate than that provided by context-free analysis. Such information can then be applied in or...
Germán Puebla, Jesús Correas, Manuel...