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Automated generation of music playlists: Survey and experiments
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 …
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
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 …
Music recommender systems
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 …
the distinctive characteristics of music, as compared to other kinds of media. We then …
Music information retrieval: Recent developments and applications
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 …
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 …
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 …
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 …
music. The main part consists of two chapters. Chapter 2 gives an introduction to …
Whozthat? evolving an ecosystem for context-aware mobile social networks
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 …
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
Relevance Popularity-based approaches are widely adopted in music recommendation
systems, both in industry and research. These approaches recommend to the target user …
systems, both in industry and research. These approaches recommend to the target user …
[BOEK][B] Music similarity and retrieval: an introduction to audio-and web-based strategies
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 …
information retrieval (MIR) research. In contrast to other books dealing solely with music …