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» Study of Challenges and Techniques in Large Scale Matching
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SIGMOD
2012
ACM
232views Database» more  SIGMOD 2012»
13 years 16 days ago
Large-scale machine learning at twitter
The success of data-driven solutions to difficult problems, along with the dropping costs of storing and processing massive amounts of data, has led to growing interest in largesc...
Jimmy Lin, Alek Kolcz
SIGIR
2009
ACM
15 years 4 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
ECOOPW
2000
Springer
15 years 2 months ago
Metadata and Adaptive Object-Models
Abstract. The unrelenting pace of change that confronts contemporary software developers compels them to make their applications more configurable, flexible, and adaptable. A way t...
Joseph W. Yoder, Reza Razavi
IPPS
1998
IEEE
15 years 2 months ago
Benchmarking the Task Graph Scheduling Algorithms
The problem of scheduling a weighted directed acyclic graph (DAG) to a set of homogeneous processors to minimize the completion time has been extensively studied. The NPcompletene...
Yu-Kwong Kwok, Ishfaq Ahmad
TJS
2008
105views more  TJS 2008»
14 years 10 months ago
Using a relational database for scalable XML search
XML is a flexible and powerful tool that enables information and security sharing in heterogeneous environments. Scalable technologies are needed to effectively manage the growing...
Rebecca Cathey, Steven M. Beitzel, Eric C. Jensen,...