A survey of music similarity and recommendation from music context data
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 …
music recommendation based on music context data. Unlike approaches that rely on music …
A survey of tagging techniques for music, speech and environmental sound
Sound tagging has been studied for years. Among all sound types, music, speech, and
environmental sound are three hottest research areas. This survey aims to provide an …
environmental sound are three hottest research areas. This survey aims to provide an …
An integral tag recommendation model for textual content
Recommending suitable tags for online textual content is a key building block for better
content organization and consumption. In this paper, we identify three pillars that impact the …
content organization and consumption. In this paper, we identify three pillars that impact the …
Semantic annotation of music collections: A computational approach
M Sordo - 2012 - tdx.cat
Music consumption has changed drastically in the last few years. With the arrival of digital
music, the cost of production has substantially dropped. The expansion of the World Wide …
music, the cost of production has substantially dropped. The expansion of the World Wide …
Three current issues in music autotagging
The purpose of this paper is to address several aspects of music autotagging. We start by
presenting autotagging experiments conducted with two different systems and show …
presenting autotagging experiments conducted with two different systems and show …
Online recommender system for radio station hosting based on information fusion and adaptive tag-aware profiling
DI Ignatov, SI Nikolenko, T Abaev… - Expert Systems with …, 2016 - Elsevier
We present a new recommender system developed for the Russian interactive radio network
FMhost. To the best of our knowledge, it is the first model and associated case study for …
FMhost. To the best of our knowledge, it is the first model and associated case study for …
Service recommendation for mashup creation based on time-aware collaborative domain regression
Mash up has emerged as a promising way to compose web APIs and create value-added
compositions. The increasing of APIs demands more accurate recommendation algorithms …
compositions. The increasing of APIs demands more accurate recommendation algorithms …
SATIN: a persistent musical database for music information retrieval and a supporting deep learning experiment on song instrumental classification
This paper introduces SATIN, the Set of Audio Tags and Identifiers Normalized. SATIN is a
database of 400k audio-related metadata and identifiers that aims at facilitating …
database of 400k audio-related metadata and identifiers that aims at facilitating …
A review of ontology‐based tag recommendation approaches
V Subramaniyaswamy, V Vijayakumar… - … Journal of Intelligent …, 2013 - Wiley Online Library
Tag recommender schemes suggest related tags for an untagged resource and better tag
suggestions to tagged resources. Tagging is very important if the user identifies the tag that …
suggestions to tagged resources. Tagging is very important if the user identifies the tag that …
Multimedia applications and security in MapReduce: Opportunities and challenges
Z Yu, C Wang, C Thomborson, J Wang… - Concurrency and …, 2012 - Wiley Online Library
Cloud computing has recently attracted great attention, both commercially and academically.
MapReduce is a popular programming model for distributed storage and computation in the …
MapReduce is a popular programming model for distributed storage and computation in the …