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The Natural Language Of Playlists
2011
Zenodo
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To demonstrate the technique, we developed a suite of simple baseline playlisters, and evaluated their performance on naturally occurring playlists. ...
We have presented a simple, automatic evaluation procedure for playlist algorithms. ...
The universe of human-generated playlists therefore constitutes a natural language, and playlisters are models of the language of playlists. ...
doi:10.5281/zenodo.1418119
fatcat:vddmegq4ovauxi2i7z4hpq67sq
Representation, Exploration and Recommendation of Music Playlists
[article]
2019
arXiv
pre-print
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Over the last few years, sequence-to-sequence models, especially in the field of natural language processing, have shown the effectiveness of learned embeddings in capturing the semantic characteristics ...
Owing to the meteoric rise in the usage of playlists, recommending playlists is crucial to music services today. ...
Due to these similarities, there have been many works which employ techniques from the field of natural language processing by translating the problem to an already solved-problem in natural language processing ...
arXiv:1907.01098v1
fatcat:44bd7ojegjhg3mwma2xjhyweha
Music Playlist Title Generation: A Machine-Translation Approach
[article]
2021
arXiv
pre-print
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Considering the orderless nature of music tracks in a playlist, we propose two techniques that remove the order of the input sequence. ...
We take a sequence of track IDs as input and a sequence of words in a playlist title as output, adapting the sequence-to-sequence framework based on Recurrent Neural Network (RNN) and Transformer to the ...
In Melon, playlist titles are written in both Korean and English (some of titles are mixed with both languages). ...
arXiv:2110.07354v1
fatcat:5hisxz2c5nhplhgqfvvreere5m
Playlist prediction via metric embedding
2012
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '12
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An empirical evaluation shows that the LME is substantially more accurate than adaptations of smoothed n-gram models commonly used in natural language processing. ...
The key goal of automated playlist generation is to provide the user with a coherent listening experience. ...
Modeling playlists as a Markov chain connects to a large body of work on sequence modeling in natural language processing and speech recognition. ...
doi:10.1145/2339530.2339643
dblp:conf/kdd/ChenMTJ12
fatcat:66pwgzzqafakbhwo427pvstz4u
Enhancing Slot Tagging with Intent Features for Task Oriented Natural Language Understanding using BERT
[article]
2022
arXiv
pre-print
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We evaluate our techniques on benchmark spoken language datasets SNIPS and ATIS, as well as over a large private Bixby dataset and observe an improved slot-tagging performance over state-of-the-art models ...
In this paper, we examine the effect of leveraging intent label features through 3 techniques in the slot tagging task of joint intent and slot detection models. ...
These systems usually comprise multiple domains, and cater to executing one or more actions after a particular domain and intent are chosen based on natural language input from the user. ...
arXiv:2205.09732v2
fatcat:oo4lqxc3tff5pcilis7dtfetfu
When users generate music playlists: When words leave off, music begins?
2011
2011 IEEE International Conference on Multimedia and Expo
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We present the results of an explorative study that focused on the language of musically untrained end users for playlist choices, in a variety of listening contexts. ...
Our results indicate that there are a number of opportunities for playlist recommendation or retrieval systems, particularly by taking context into account. ...
ACKNOWLEDGMENTS We thank Charles Inskip and the participants of our study. This work was funded as part of the City University London pump-priming grant scheme. ...
doi:10.1109/icme.2011.6012152
dblp:conf/icmcs/StumpfM11
fatcat:qnjuwhlswbe4bclf3ivqvo5tby
Curating the Fieldwork Playlist
2019
Suomen Antropologi
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I argue that the playlist asks us to reflect on the field of anthropology and to consider the role of the voice, the body, the mind with anthropology, as well as the role digital technologies, ethics, ...
The chapter examines this history of the digital playlist before going on to analyse the varied musical contributions from curatorial, musicological, and anthropological perspetives. ...
Indeed, the array of languages and styles within the playlist can foster feelings of otherness and unfamiliarity. ...
doi:10.30676/jfas.v43i2.77751
fatcat:yvhiwye66zhk5jos552ulnilja
Hypergraph Models Of Playlist Dialects
2012
Zenodo
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This viewpoint, borrowed from the statistical natural language processing literature, enables the automatic evaluation and optimization of a model by computing the likelihood of it generating examples ...
language, we propose to model playlists as a collection of dialects, each of which may exhibit its own particular structure. ...
doi:10.5281/zenodo.1415618
fatcat:ecmoyau3gjeybbsduihyz4vnii
Music Playlist Recommendation via Preference Embedding
2016
ACM Conference on Recommender Systems
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After the embedding process, we then use the learned representations to perform the task of playlist recommendation. ...
In the light of this, this paper proposes a preference embedding based on a user-song-playlist graph to learn the preference representations of these three entities. ...
In the field of natural language processing, the techniques are usually referred to as word embedding for language modeling and feature learning to map words or phrases into a low-dimensional vector space ...
dblp:conf/recsys/ChenYHCT16
fatcat:dcmgqy7omvhtldqqkvqyirwqsi
Quick Lists: Enriched Playlist Embeddings for Future Playlist Recommendation
[article]
2020
arXiv
pre-print
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Recommending playlists to users in the context of a digital music service is a difficult task because a playlist is often more than the mere sum of its parts. ...
The embeddings also capture information about playlist sequencing, and are enriched with side information about the playlist user. ...
There are strong analogies between the task of representing playlists and that of representing natural language. ...
arXiv:2006.12382v1
fatcat:zlsn4t3porhell7epgmehwwedu
Learning To Embed Songs And Tags For Playlist Prediction
2012
Zenodo
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Another interesting direction for future work is the modeling of long-range dependencies in playlists. ...
Such long-range dependencies could capture the amount of redundancy/repetition that a user may seek, versus how much a playlist provides variety and explores new music. ...
Modeling playlists as a Markov chain connects to a large body of work on sequence modeling in natural language processing (NLP) and speech recognition. ...
doi:10.5281/zenodo.1416966
fatcat:akli7c4dpfbhng2ztqqkxl5voe
A Language-Based Approach to Variability Analysis
2008
Workshop em Engenharia de Requisitos
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In this paper, we explore the variability of the user's domain language to promote the requirements engineers' reflection on the need to deal with variations and what strategies are adequate to deal with ...
the user goals on user interface language. ...
The first author also thanks FAPERJ for the financial support to his Doctoral program. ...
dblp:conf/wer/SilvaBL08
fatcat:mefulpenwjfzvjmzb3pn7ugfku
Autoencoders for Next-Track-Recommendation
2019
Workshop Grundlagen von Datenbanken
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This work investigates the suitability and applicability of autoencoders for the task of playlist continuation. We utilize autoencoders and hence, representation learning to continue playlists. ...
Our approach is inspired by the usage of autoencoders to denoise images and we consider the playlist without the missing next-track as a noisy input. ...
They come up with the idea to consider playlist generation as a natural language modeling problem instead of an information retrieval problem. ...
dblp:conf/gvd/VotterZMS19
fatcat:7zik2kdbbbgt7fhezzf2ofu2au
Towards Music Captioning: Generating Music Playlist Descriptions
[article]
2017
arXiv
pre-print
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In the proposed method, audio content analysis and natural language processing are adopted to utilise the information of each track. ...
Recommending automatically generated music playlists (e.g. personalised playlists) introduces the problem of generating descriptions. ...
One common method is to add descriptions of a music item or playlist, e.g. ...
arXiv:1608.04868v2
fatcat:knitoad3g5bodbcijow3hwk5zi
Understanding Music Playlists
[article]
2015
arXiv
pre-print
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As music streaming services dominate the music industry, the playlist is becoming an increasingly crucial element of music consumption. ...
Better understanding of the playlist is there- fore necessary for developing better playlist gen- eration algorithms. ...
Therefore, it is natural that the focus of music recommendation problem is shifting towards the playlist generation problem. However, the understanding of playlists is still shallow. ...
arXiv:1511.07004v1
fatcat:jfdwijaaovcqvjvofycpx3pyzq
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