Automated generation of music playlists: Survey and experiments

G Bonnin, D Jannach - ACM Computing Surveys (CSUR), 2014 - dl.acm.org
Most of the time when we listen to music on the radio or on our portable devices, the order in
which the tracks are played is governed by so-called playlists. These playlists are basically …

[PDF][PDF] A survey of music recommendation systems and future perspectives

Y Song, S Dixon, M Pearce - … on computer music modeling and retrieval, 2012 - Citeseer
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 …

Music recommender systems

M Schedl, P Knees, B McFee, D Bogdanov… - Recommender systems …, 2015 - Springer
This chapter gives an introduction to music recommender systems research. We highlight
the distinctive characteristics of music, as compared to other kinds of media. We then …

Music information retrieval: Recent developments and applications

M Schedl, E Gómez, J Urbano - Foundations and Trends® in …, 2014 - nowpublishers.com
We provide a survey of the field of Music Information Retrieval (MIR), in particular paying
attention to latest developments, such as semantic auto-tagging and user-centric retrieval …

Personal audio assistant device and method

S Goldstein - US Patent App. 11/774,965, 2008 - Google Patents
At least one exemplary embodiment is directed to an ear piece comprising: an ambient
microphone; an ear canal microphone; an ear canal receiver; a sealing section; a logic …

Big & personal: data and models behind netflix recommendations

X Amatriain - Proceedings of the 2nd international workshop on big …, 2013 - dl.acm.org
Since the Netflix $1 million Prize, announced in 2006, our company has been known to have
personalization at the core of our product. Even at that point in time, the dataset that we …

[PDF][PDF] Computational models of music similarity and their application in music information retrieval

E Pampalk - 2006 - repositum.tuwien.at
This thesis aims at develo** techniques which support users in accessing and discovering
music. The main part consists of two chapters. Chapter 2 gives an introduction to …

Whozthat? evolving an ecosystem for context-aware mobile social networks

A Beach, M Gartrell, S Akkala, J Elston, J Kelley… - IEEE …, 2008 - ieeexplore.ieee.org
One of the most compelling social questions, which until now was left unanswered by
current technology, is" Who's that?" This question is usually asked about a new unfamiliar …

Global and country-specific mainstreaminess measures: Definitions, analysis, and usage for improving personalized music recommendation systems

C Bauer, M Schedl - PloS one, 2019 - journals.plos.org
Relevance Popularity-based approaches are widely adopted in music recommendation
systems, both in industry and research. These approaches recommend to the target user …

[KNIHA][B] Music similarity and retrieval: an introduction to audio-and web-based strategies

P Knees, M Schedl - 2016 - books.google.com
This book provides a summary of the manifold audio-and web-based approaches to music
information retrieval (MIR) research. In contrast to other books dealing solely with music …