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== Papers == === Supervised Random Walks === * title: "Supervised Random Walks: Predicting and Recommending Links in Social Networks" * authors: Lars Backstrom and Jure Leskovec * [http://arxiv.org/abs/1011.4071 paper] * '''Summary''' ** develop an algorithm based on Supervised Random Walks ** uses network structure info combined with node and edge level attributes to guide the walk ** learn a function to weight edges s.t. random walker more likely to visit nodes to which new links will be created (equivalent to missing nodes for our application) ** they develop a good training algorithm. ** test it on a facebook network and on co-author network ** compare to decision trees, logistic regression and unsupervised techniques.
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