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Sociology And Music Recommendation Systems
2007
Zenodo
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MUSIC RECOMMENDATION SYSTEMS There have been a number of music recommendation systems proposed. ...
Pandora.com is a commercial example of a content-based recommendation system. Two of Chen and Chen's [3] recommendation algorithms utilize purely content-based approaches. ...
doi:10.5281/zenodo.1414854
fatcat:xn2ejr2om5ft5dtutb57trvf4e
Emotion Based Music Recommendation System
2020
Zenodo
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Recommendation systems gain more and more popularity and help people to select appropriate music for all occasions. ...
This paper will present design of the personalized music recommendation system, driven by listener feelings, emotions and activity contexts. ...
In this work we present the design of the personalized emotion-driven music recommendation system. ...
doi:10.5281/zenodo.4007449
fatcat:4hnpkero5vhbfj4hrprrlh7mpi
Psychologically-Inspired Music Recommendation System
[article]
2022
arXiv
pre-print
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In the last few years, automated recommendation systems have been a major focus in the music field, where companies such as Spotify, Amazon, and Apple are competing in the ability to generate the most ...
Our goal is to find a way to integrate users' personal traits and their current emotional state into a single music recommendation system with both collaborative and content-based filtering. ...
If we manage to achieve that, we could bring music recommendation systems to a whole new state-of-the-art level [12] . ...
arXiv:2205.03459v1
fatcat:65sk7sznjjfytpa52vterdejom
Emotion Based Music Recommendation System
2021
International Journal for Research in Applied Science and Engineering Technology
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In such difficult circumstances, it became necessary for us to devise a system that would assist the people in expressing what they truly feel. ...
So, the idea is to automate tasks that the human visual systems can do. Neuropsychiatric symptoms appear to be common in people due to covid-19. ...
doi:10.22214/ijraset.2021.38655
fatcat:f5dxa7xvvbcmrk4zkcoux2escy
Context-aware music recommender systems
2012
Proceedings of the 21st international conference companion on World Wide Web - WWW '12 Companion
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These topics will be illustrated in the talk, making examples taken from the music recommender systems that our research team has developed. ...
However, notwithstanding the fact that music recommender systems are among the most common applications of recommendation techniques, there are very few music recommender systems that are capable to adapt ...
Context-aware music recommender systems can benefit from a number of techniques and methodologies that have been proposed, developed, and tested in the larger scope of context-aware recommender systems ...
doi:10.1145/2187980.2188215
dblp:conf/www/Ricci12
fatcat:ktqv6jivtvdj3ddeoupakpjgry
Music Recommender System Using ChatBot
2021
International Journal for Research in Applied Science and Engineering Technology
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Abstract: In this era of technological advances, text-based music recommendations are much needed as they will help humans relieve stress with soothing music according to their moods. ...
In this project, we have implemented a chatbot that recommends music based on the user's text tone. By analyzing the tone of the text expressed by the user, we can identify the mood. ...
A number of live online music recommender systems exist, each using its own methodology to suggest music. ...
doi:10.22214/ijraset.2021.39717
fatcat:ylggk6oxmja4pj6yfj5qodr3h4
Explainability in Music Recommender Systems
[article]
2022
arXiv
pre-print
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To assist users in effectively browsing these large catalogs, the integration of Music Recommender Systems (MRSs) has become essential. ...
Finally, we describe the current challenges for introducing explainability within a large-scale industrial music recommender system and provide research perspectives. ...
Characteristics of music consumption and music recommender systems While music recommendation shares some properties with other media recommendation tasks, such as videos or movies, there exist also pronounced ...
arXiv:2201.10528v1
fatcat:k4mhwh2nhzexxgyvz3dppv3j5i
Deep Learning in Music Recommendation Systems
2019
Frontiers in Applied Mathematics and Statistics
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Like in many other research areas, deep learning (DL) is increasingly adopted in music recommendation systems (MRS). ...
music recommendation). ...
INTRODUCTION Research on music recommendation systems (MRS) is spiraling [1] . So is research in deep learning (DL). ...
doi:10.3389/fams.2019.00044
fatcat:vvosxlygrravloyrj3qubflnoe
Multiple Stakeholders in Music Recommender Systems
[article]
2017
arXiv
pre-print
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Music recommendation services collectively spin billions of songs for millions of listeners on a daily basis. ...
These stakeholders each have their own objectives and must work in concert to sustain a healthy music recommendation service. ...
STAKEHOLDERS IN MUSIC RECOMMENDER SYSTEMS Pandora is one of the world's largest music recommendation companies in terms of active users and songs recommended. e platform consists of a variety of di erent ...
arXiv:1708.00120v1
fatcat:64irqhofpbffdmlcixsdb65ysm
Music Recommendation System Using Machine Learning
2021
International Journal of Scientific Research in Computer Science Engineering and Information Technology
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Along with this,a front end with flask that will show us the recommended songs when a specific song is processed. ...
In our project, we will be using a sample data set of songs to find correlations between users and songs so that a new song will be recommended to them based on their previous history. ...
Thus, there is а strоng need fоr а gооd recommendation system. Recommendation Systems аre everywhere аnd рretty stаndаrd аll оver the web. ...
doi:10.32628/cseit217615
fatcat:fvlnyvlt3zav5kxjxvrtqwrnh4
Evaluating Music Recommender Systems for Groups
[article]
2017
arXiv
pre-print
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Using this benchmarking dataset, that we share with the research community, we compare the respective performance of a wide range of music group recommendation techniques proposed in the ...
Recommendation to groups of users is a challenging and currently only passingly studied task. ...
Finally, on the basis of our collection, Section 4 compares a wide range of existing music group recommendation systems as well as basic machine learning algorithms. ...
arXiv:1707.09790v1
fatcat:x27xl7pu2najhmkibvdbttg5l4
Muse: A Music Recommendation Management System
2014
Zenodo
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MUSE OVERVIEW We propose MUSE: a web-based music recommendation management system, built around the idea of recommenders that can be plugged in. ...
A schematic overview of the whole system is depicted in Fig. 1 . The MUSE Server is the core of our music recommendation management system enabling the communication between all components. ...
doi:10.5281/zenodo.1418194
fatcat:3tcdqtw3kngfrb6mka3hlzsyhq
TRUST IN THE MUSIC? AUTOMATED MUSIC DISCOVERY, MUSIC RECOMMENDATION SYSTEMS & ALGORITHMIC CULTURE
2019
Selected Papers of Internet Research, SPIR
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We trust music streaming and recommender systems like Spotify to 'set the mood' for us, to soundtrack our private lives and activities, to recommend & discover for us. ...
This paper builds on research which critically examined the music recommendation system that powers Spotify and its many discovery features. ...
In what way do music recommender systems bear the imprint of the developers that built them? What tacit music knowledge exists, or indeed, pre-exists the music recommender system? ...
doi:10.5210/spir.v2019i0.10962
fatcat:nvyxekb2r5f4vgfulhb6kiia3i
Exploring Gender Distribution in Music Recommender Systems
2020
Zenodo
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Music Recommender Systems (mRS) are designed to give personalised and meaning-ful recommendations of items (i.e. songs, playlists or artists) to a user base, thereby reflecting and further complementing ...
individual users' specific music preferences. ...
Music Recommender Systems Music Recommender Systems are a subdivision of RS whereby the items being recommended consist of musical content. ...
doi:10.5281/zenodo.4091510
fatcat:5ug2dprnr5haxgfukjtpofnlxe
COMPARISON OF DIFFERENT MUSIC RECOMMENDATION SYSTEM ALGORITHMS
2020
International Journal of Engineering Applied Sciences and Technology
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Keywords-Music recommendation system, machine learning, deep learning, neural network. I. ...
Recommendation systems have become very popular and an essential part of consumer-based systems such as shopping, music, movies, etc. ...
In the context of the recommender system, SVD is used as a collaborative filtering technique. ...
doi:10.33564/ijeast.2020.v05i06.036
fatcat:yphebgpswfh2rbg52354bpm6tq
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