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Authors: Nicola Barbieri ; Gianni Costa ; Giuseppe Manco and Ettore Ritacco

Affiliation: High Performance Computing and Networking Institute of the Italian National Research Council, Italy

ISBN: 978-989-8425-79-9

Keyword(s): Collaborative filtering, Recommender systems, Block clustering, Co-clustering.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Collaborative Filtering ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Symbolic Systems ; User Profiling and Recommender Systems

Abstract: In this paper we propose a probabilistic co-clustering approach for pattern discovery in collaborative filtering data. We extend the Block Mixture Model in order to learn about the structures and relationships within preference data. The resulting model can simultaneously cluster users into communities and items into categories. Besides its predictive capabilities, the model enables the discovery of significant knowledge patterns, such as the analysis of common trends and relationships between items and users within communities/categories. We reformulate the mathematical model and implement a parameter estimation technique. Next, we show how the model parameters enable pattern discovery tasks, namely: (i) to infer topics for each items category and characteristic items for each user community; (ii) to model community interests and transitions among topics. Experiments on MovieLens data provide evidence about the effectiveness of the proposed approach.

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Paper citation in several formats:
Barbieri, N.; Barbieri, N.; Costa, G.; Manco, G. and Ritacco, E. (2011). CHARACTERIZING RELATIONSHIPS THROUGH CO-CLUSTERING - A Probabilistic Approach.In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2011) ISBN 978-989-8425-79-9, pages 64-73. DOI: 10.5220/0003656800640073

@conference{kdir11,
author={Nicola Barbieri. and Nicola Barbieri. and Gianni Costa. and Giuseppe Manco. and Ettore Ritacco.},
title={CHARACTERIZING RELATIONSHIPS THROUGH CO-CLUSTERING - A Probabilistic Approach},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2011)},
year={2011},
pages={64-73},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003656800640073},
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 - CHARACTERIZING RELATIONSHIPS THROUGH CO-CLUSTERING - A Probabilistic Approach
SN - 978-989-8425-79-9
AU - Barbieri, N.
AU - Barbieri, N.
AU - Costa, G.
AU - Manco, G.
AU - Ritacco, E.
PY - 2011
SP - 64
EP - 73
DO - 10.5220/0003656800640073

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