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Authors: Amna Dridi and Mouna Kacimi

Affiliation: Free University of Bozen-Bolzano, Italy

ISBN: 978-989-758-158-8

Keyword(s): Music Information Retrieval, Music-context, User-context, Personalization, Social Information.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Mining Multimedia Data ; Soft Computing ; Symbolic Systems ; User Profiling and Recommender Systems ; Web Mining

Abstract: While content-based approaches for music information retrieval (MIR) have been heavily investigated, usercentric approaches are still in their early stage. Existing user-centric approaches use either music-context or user-context to personalize the search. However, none of them give the possibility to the user to choose the suitable context for his needs. In this paper we propose KISS MIR, a versatile approach for music information retrieval. It consists in combining both music-context and user-context to rank search results. The core contribution of this work is the investigation of different types of contexts derived from social networks. We distinguish semantic and social information and use them to build semantic and social profiles for music and users. The different contexts and profiles can be combined and personalized by the user. We have assessed the quality of our model using a real dataset from Last.fm. The results show that the use of user-context to rank search re sults is two times better than the use of music-context. More importantly, the combination of semantic and social information is crucial for satisfying user needs. (More)

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Paper citation in several formats:
Dridi A. and Kacimi M. (2015). KISS MIR: Keep It Semantic and Social Music Information Retrieval.In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2015) ISBN 978-989-758-158-8, pages 433-439. DOI: 10.5220/0005616704330439

@conference{kdir15,
author={Amna Dridi and Mouna Kacimi},
title={KISS MIR: Keep It Semantic and Social Music Information Retrieval},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2015)},
year={2015},
pages={433-439},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005616704330439},
isbn={978-989-758-158-8},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2015)
TI - KISS MIR: Keep It Semantic and Social Music Information Retrieval
SN - 978-989-758-158-8
AU - Dridi A.
AU - Kacimi M.
PY - 2015
SP - 433
EP - 439
DO - 10.5220/0005616704330439

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