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Conclusions and Further Research

  • Òscar CelmaEmail author
Chapter

Abstract

Research in recommender systems is multidisciplinary. It includes several areas, such as: search and filtering, data mining, personalisation, social networks, text processing, complex networks, user interaction, information visualisation, signal processing, and domain specific models, among others. Furthermore, current research in recommender systems has strong industry impact, resulting in many practical applications.

Keywords

Recommender System Recommendation Algorithm Audio Feature Music Information Retrieval Music Recommendation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Berlin Heidelberg 2010

Authors and Affiliations

  1. 1.BMATBarcelonaSpain

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