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» Component factors with large components in graphs
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WWW
2010
ACM
15 years 6 months ago
Factorizing personalized Markov chains for next-basket recommendation
Recommender systems are an important component of many websites. Two of the most popular approaches are based on matrix factorization (MF) and Markov chains (MC). MF methods learn...
Steffen Rendle, Christoph Freudenthaler, Lars Schm...
83
Voted
CIKM
2007
Springer
15 years 5 months ago
RDF data exploration and visualization
We present Paged Graph Visualization (PGV), a new semiautonomous tool for RDF data exploration and visualization. PGV consists of two main components: a) the “PGV explorer” an...
Leonidas Deligiannidis, Krys Kochut, Amit P. Sheth
106
Voted
COLT
2010
Springer
14 years 9 months ago
Hedging Structured Concepts
We develop an online algorithm called Component Hedge for learning structured concept classes when the loss of a structured concept sums over its components. Example classes inclu...
Wouter M. Koolen, Manfred K. Warmuth, Jyrki Kivine...
100
Voted
UPP
2004
Springer
15 years 5 months ago
Grassroots Approach to Self-management in Large-Scale Distributed Systems
Abstract. Traditionally, autonomic computing is envisioned as replacing the human factor in the deployment, administration and maintenance of computer systems that are ever more co...
Özalp Babaoglu, Márk Jelasity, Alberto...
88
Voted
SODA
2010
ACM
201views Algorithms» more  SODA 2010»
15 years 9 months ago
Efficient Broadcast on Random Geometric Graphs
A Random Geometric Graph (RGG) in two dimensions is constructed by distributing n nodes independently and uniformly at random in [0, n ]2 and creating edges between every pair of...
Milan Bradonji, Robert Elsässer, Tobias Friedrich...