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» Learning consumer preferences using semantic similarity
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SIGMOD
2004
ACM
165views Database» more  SIGMOD 2004»
14 years 9 months ago
Industrial-Strength Schema Matching
Schema matching identifies elements of two given schemas that correspond to each other. Although there are many algorithms for schema matching, little has been written about build...
Philip A. Bernstein, Sergey Melnik, Michalis Petro...
SIGIR
2009
ACM
14 years 4 months ago
Fast nonparametric matrix factorization for large-scale collaborative filtering
With the sheer growth of online user data, it becomes challenging to develop preference learning algorithms that are sufficiently flexible in modeling but also affordable in com...
Kai Yu, Shenghuo Zhu, John D. Lafferty, Yihong Gon...
CVPR
2010
IEEE
13 years 8 months ago
Nonparametric Label-to-Region by Search
In this work, we investigate how to propagate annotated labels for a given single image from the image-level to their corresponding semantic regions, namely Label-toRegion (L2R), ...
Xiaobai Liu, Shuicheng Yan, Jiebo Luo
COGSCI
2008
139views more  COGSCI 2008»
13 years 9 months ago
A Computational Model of Early Argument Structure Acquisition
How children go about learning the general regularities that govern language, as well as keeping track of the exceptions to them, remains one of the challenging open questions in ...
Afra Alishahi, Suzanne Stevenson
BXML
2003
13 years 11 months ago
An Instructional Component for Dynamic Course Generation and Delivery
: E-Learning offers the advantage of interactivity: an E-Learning system can adapt the learning materials to suit the learner’s personality and his goals, and it can react to the...
Carsten Ullrich