Efficient Regularized Least-Squares Algorithms for Conditional Ranking on Relational Data

21 Sep 2012Tapio PahikkalaAntti AirolaMichiel StockBernard De BaetsWillem Waegeman

In domains like bioinformatics, information retrieval and social network analysis, one can find learning tasks where the goal consists of inferring a ranking of objects, conditioned on a particular target object. We present a general kernel framework for learning conditional rankings from various types of relational data, where rankings can be conditioned on unseen data objects... (read more)

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