In this survey article, we give an overview of methods for music similarity estimation and
music recommendation based on music context data. Unlike approaches that rely on music …

Rapid advances in mobile devices and cloud-based music service now allow consumers to
enjoy music anytime and anywhere. Consequently, there has been an increasing demand in …

The emergence of social media as a crucial paradigm has posed new challenges to the
research and industry communities, where media are designed to be disseminated through …

The perceptual attributes of timbre have inspired a considerable amount of multidisciplinary
research, but because of the complexity of the phenomena, the approach has traditionally …

Social tagging can provide rich semantic information for large-scale retrieval in music
discovery. Such collaborative intelligence, however, also generates a high degree of tags …

Active learning with uncertainty sampling has been popularly employed in implementing
interactive video search, due to its promise to reduce labeling efforts. However, since the …

In recent years, multimodal fusion has emerged as a promising technology for effective
multimedia retrieval. Developing the optimal fusion strategy for different modalities (eg …

This tutorial serves as an introductory course to the field of and state-of-the-art in music
information retrieval (MIR) and in particular to music similarity estimation which is an …

The rapid expansion of social media in music has provided the field with impressive
datasets that offer insights into the semantic structures underlying everyday uses and …

In this paper, we propose a novel multimodal fusion framework, document dependent fusion
(DDF), which derives the optimal combination strategy for each individual document in the …