publication . Conference object . 2012

Multi-relational matrix factorization using bayesian personalized ranking for social network data

Lars Schmidt-Thieme;
Open Access
  • Published: 14 Feb 2012
  • Publisher: ACM Press
Abstract
A key element of the social networks on the internet such as Facebook and Flickr is that they encourage users to create connections between themselves, other users and objects. One important task that has been approached in the literature that deals with such data is to use social graphs to predict user behavior (e.g. joining a group of interest). More specifically, we study the cold-start problem, where users only participate in some relations, which we will call social relations, but not in the relation on which the predictions are made, which we will refer to as target relations. We propose a formalization of the problem and a principled approach to it based ...
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