[PDF][PDF] A survey of music recommendation systems and future perspectives
Along with the rapid expansion of digital music formats, managing and searching for songs
has become significant. Though music information retrieval (MIR) techniques have been …
has become significant. Though music information retrieval (MIR) techniques have been …
Contextual music information retrieval and recommendation: State of the art and challenges
M Kaminskas, F Ricci - Computer Science Review, 2012 - Elsevier
Increasing amount of online music content has opened new opportunities for implementing
new effective information access services–commonly known as music recommender …
new effective information access services–commonly known as music recommender …
[图书][B] Recommender systems
CC Aggarwal - 2016 - Springer
“Nature shows us only the tail of the lion. But I do not doubt that the lion belongs to it even
though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …
though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …
Detection and classification of acoustic scenes and events: Outcome of the DCASE 2016 challenge
Public evaluation campaigns and datasets promote active development in target research
areas, allowing direct comparison of algorithms. The second edition of the challenge on …
areas, allowing direct comparison of algorithms. The second edition of the challenge on …
On the role of correlation and abstraction in cross-modal multimedia retrieval
The problem of cross-modal retrieval from multimedia repositories is considered. This
problem addresses the design of retrieval systems that support queries across content …
problem addresses the design of retrieval systems that support queries across content …
Social tagging and music information retrieval
P Lamere - Journal of new music research, 2008 - Taylor & Francis
Social tags are free text labels that are applied to items such as artists, albums and songs.
Captured in these tags is a great deal of information that is highly relevant to Music …
Captured in these tags is a great deal of information that is highly relevant to Music …
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 …
Exploration in interactive personalized music recommendation: a reinforcement learning approach
Current music recommender systems typically act in a greedy manner by recommending
songs with the highest user ratings. Greedy recommendation, however, is suboptimal over …
songs with the highest user ratings. Greedy recommendation, however, is suboptimal over …
Context-aware probabilistic matrix factorization modeling for point-of-interest recommendation
The rapid development of location-based social networks (LBSNs) has provided an
unprecedented opportunity for better location-based services through Point-of-Interest (POI) …
unprecedented opportunity for better location-based services through Point-of-Interest (POI) …