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Experimenting Analogical Reasoning in Recommendation

Hug, Nicolas and Prade, Henri and Richard, Gilles Experimenting Analogical Reasoning in Recommendation. (2015) In: 22nd International Symposium on Methodologies for Intelligent Systems (ISMIS 2015), 21 October 2015 - 23 October 2015 (Lyon, France).

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Official URL: https://doi.org/10.1007/978-3-319-25252-0_8

Abstract

Recommender systems aim at providing suggestions of interest for end-users. Two main types of approach underlie existing recommender systems: content-based methods and collaborative filtering. In this paper, encouraged by good results obtained in classification by analogical proportion-based techniques, we investigate the possibility of using analogy as the main underlying principle for implementing a prediction algorithm of the collaborative filtering type. The quality of a recommender system can be estimated along diverse dimensions. The accuracy to predict user’s rating for unseen items is clearly an important matter. Still other dimensions like coverage and surprise are also of great interest. In this paper, we describe our implementation and we compare the proposed approach with well-known recommender systems.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to Springer editor. This papers appears in Volume 9384 of Lecture Notes in Computer Science ISSN : 0302-9743 ISBN: 978-3-319-25251-3 The original PDF is available at: https://link.springer.com/chapter/10.1007/978-3-319-25252-0_8
HAL Id:hal-01782596
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
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Deposited By: IRIT IRIT
Deposited On:10 Apr 2018 14:43

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