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RECSYS
2009
ACM
16 years 1 months ago
Learning to recommend with trust and distrust relationships
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...
Hao Ma, Michael R. Lyu, Irwin King
SIGIR
2009
ACM
16 years 1 months ago
Learning to recommend with social trust ensemble
As an indispensable technique in the field of Information Filtering, Recommender System has been well studied and developed both in academia and in industry recently. However, mo...
Hao Ma, Irwin King, Michael R. Lyu
JCDL
2006
ACM
161views Education» more  JCDL 2006»
16 years 15 days ago
Learning metadata from the evidence in an on-line citation matching scheme
Citation matching, or the automatic grouping of bibliographic references that refer to the same document, is a data management problem faced by automatic digital libraries for sci...
Isaac G. Councill, Huajing Li, Ziming Zhuang, Sand...
PLDI
2003
ACM
15 years 11 months ago
Meta optimization: improving compiler heuristics with machine learning
Compiler writers have crafted many heuristics over the years to approximately solve NP-hard problems efficiently. Finding a heuristic that performs well on a broad range of applic...
Mark Stephenson, Saman P. Amarasinghe, Martin C. M...
GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
15 years 11 months ago
Evolutionary learning of local descriptor operators for object recognition
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...
Cynthia B. Pérez, Gustavo Olague