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135
Voted
WWW
2010
ACM
15 years 10 months ago
Measurement and analysis of an online content voting network: a case study of Digg
In online content voting networks, aggregate user activities (e.g., submitting and rating content) make high-quality content thrive through the unprecedented scale, high dynamics ...
Yingwu Zhu
119
Voted
DCC
2005
IEEE
16 years 3 months ago
The Markov Expert for Finding Episodes in Time Series
We describe a domain-independent, unsupervised algorithm for refined segmentation of time series data into meaningful episodes, focusing on the problem of text segmentation. The V...
Jimming Cheng, Michael Mitzenmacher
101
Voted
IPPS
2008
IEEE
15 years 9 months ago
Optimal spot-checking to minimize the computation time in volunteer computing
This paper proposes an optimization technique for spotchecking to minimize the computation time of volunteer computing (VC) systems with malicious participants who return erroneou...
Kan Watanabe, Masaru Fukushi, Susumu Horiguchi
136
Voted
CASES
2009
ACM
15 years 10 months ago
Towards scalable reliability frameworks for error prone CMPs
As technology scales and the energy of computation continually approaches thermal equilibrium [1,2], parameter variations and noise levels will lead to larger error rates at vario...
Joseph Sloan, Rakesh Kumar
111
Voted
ICDIM
2007
IEEE
15 years 3 months ago
Assessing the value of unrated items in collaborative filtering
In collaborative filtering systems, a common technique is default voting. Unknown ratings are filled with a default value to alleviate the sparsity of rating databases. We show ...
Jérôme Kunegis, Andreas Lommatzsch, M...