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.
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Celma, Ò. (2010). Conclusions and Further Research. In: Music Recommendation and Discovery. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13287-2_9
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DOI: https://doi.org/10.1007/978-3-642-13287-2_9
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