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Authors: Volker Tresp 1 ; Yi Huang 2 ; Xueyan Jiang 3 and Achim Rettinger 4

Affiliations: 1 Siemens AG, Corporate Technology and Ludwig-Maximilians-Universität München, Germany ; 2 Siemens AG and Corporate Technology, Germany ; 3 Ludwig-Maximilians-Universität München, Germany ; 4 Karlsruhe Institute of Technology, Germany

ISBN: 978-989-8425-79-9

Keyword(s): Relational learning, Probabilistic relational models, Relational context information, Recommendation systems, Graphical models.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Collaborative Filtering ; Computational Intelligence ; Evolutionary Computing ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Soft Computing ; Symbolic Systems

Abstract: We derive a multinomial sampling model for analyzing the relationships between two or more entities. The parameters in the multinomial model are derived from factorizing multi-way contingency tables. We show how contextual information can be included and propose a graphical representation of model dependencies. The graphical representation allows us to decompose a multivariate domain into interactions involving only a small number of variables. The approach formulates a probabilistic generative model for a single relation. By construction, the approach can easily deal with missing relations. We apply our approach to a social network domain where we predict the event that a user watches a movie. Our approach permits the integration of both information about the last movie watched by a user and a general temporal preference for a movie.

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Paper citation in several formats:
Tresp, V.; Huang, Y.; Jiang, X.; Jiang, X. and Rettinger, A. (2011). GRAPHICAL MODELS FOR RELATIONS - Modeling Relational Context.In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2011) ISBN 978-989-8425-79-9, pages 114-120. DOI: 10.5220/0003665201140120

@conference{kdir11,
author={Volker Tresp. and Yi Huang. and Xueyan Jiang. and Xueyan Jiang. and Achim Rettinger.},
title={GRAPHICAL MODELS FOR RELATIONS - Modeling Relational Context},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2011)},
year={2011},
pages={114-120},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003665201140120},
isbn={978-989-8425-79-9},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2011)
TI - GRAPHICAL MODELS FOR RELATIONS - Modeling Relational Context
SN - 978-989-8425-79-9
AU - Tresp, V.
AU - Huang, Y.
AU - Jiang, X.
AU - Jiang, X.
AU - Rettinger, A.
PY - 2011
SP - 114
EP - 120
DO - 10.5220/0003665201140120

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