Item Type: | Article |
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Title: | Relation prediction in multi-relational domains using matrix factorization |

Creators Name: | Lippert, C. and Weber, S.H. and Huang, Y. and Tresp, V. and Schubert, M. and Kriegel, H.P. |

Abstract: | The paper is concerned with relation prediction in multi-relational domains using matrix factorization. While most past predictive models focussed on one single relation type between two entity types, in the paper a generalized model is presented that is able to deal with an arbitrary number of relation types and entity types in a domain of interest. The novel multi-relational matrix factorization is domain independent and highly scalable. We validate the performance of our approach using two real-world data sets, i.e. user-movie recommendations and gene function prediction. |

Keywords: | Relational-Learning, Relation Prediction, Matrix Factorization, Collaborative Filtering, Bioinformatics |

Source: | Proceedings of the NIPS 2008 Workshop |

Date: | 2008 |

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