Supervised Random Walks: Predicting and Recommending Links in Social Networks
Supervised Random Walks: Predicting and Recommending Links in Social Networks Lars Backstrom Facebook [email protected] Jure Leskovec Stanford University [email protected] ABSTRACT Predicting the occurrence of links is a fundamental problem in net- works. In the link prediction problem we are given a snapshot of a network and would like to infer which interactions among existing members are lik
NIPS 2008 Proceedings
Advances in Neural Information Processing Systems 21 (NIPS 2008) The papers below appear in Advances in Neural Information Processing Systems 21 edited by D. Koller and D. Schuurmans and Y. Bengio and L. Bottou. They are proceedings from the conference, "Neural Information Processing Systems 2008." Structure Learning in Human Sequential Decision-Making Daniel Acuna, Paul R. Schrater The Gaussian P
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