Ernest Ryu

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In this project we investigate two machine learning methods, one supervised and one unsupervised, that will allow the information content of Yelp data to be efficiently conveyed to the users. The first is matrix completion via the novel ”max-norm” constraint which out results show to be more powerful than the traditional nuclear norm minimization. The(More)
Recently Stochastic Kronecker Graph (SKG), a network generation model, and vertex-centric BSP, a graph processing framework like Pregel, have attracted much attention in the network analysis community. Unfortunately the two are not very wellsuited for each other and thus an implementation of SKG on vertex-centric BSP must either be done serially or in an(More)
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