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KDD
2006
ACM
14 years 8 months ago
2006
ACM
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
KDD
2005
ACM
14 years 8 months ago
2005
ACM
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
RECSYS
2009
ACM
14 years 2 months ago
2009
ACM
With the exponential growth of Web contents, Recommender System has become indispensable for discovering new information that might interest Web users. Despite their success in th...
MICRO
2007
IEEE
14 years 1 months ago
2007
IEEE
Single-threaded programming is already considered a complicated task. The move to multi-threaded programming only increases the complexity and cost involved in software developmen...
MM
2005
ACM
14 years 1 months ago
2005
ACM
Learning the user’s semantics for CBIR involves two different sources of information: the similarity relations entailed by the content-based features, and the relevance relatio...