2100 search results - page 5 / 420 » Learning to rank on graphs |
JUCS
2010
14 years 8 months ago
2010
Abstract: This paper discusses the 3A recommender system that targets CSCL (computersupported collaborative learning) and CSCW (computer-supported collaborative work) environments....
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
We present a unified framework for learning link prediction and edge weight prediction functions in large networks, based on the transformation of a graph's algebraic spectru...
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
Abstract— The incomplete information about the Web structure causes inaccurate results of various ranking algorithms. In this paper, we propose a solution to this problem by form...
121
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ICPR
2008
IEEE
15 years 4 months ago
2008
IEEE
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
81
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SIGIR
2009
ACM
15 years 4 months ago
2009
ACM
Incorporating features extracted from clickthrough data (called clickthrough features) has been demonstrated to significantly improve the performance of ranking models for Web sea...