SpotifyGraph: Visualisation of User's Preferences in Music

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10422766" target="_blank" >RIV/00216208:11320/21:10422766 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1007/978-3-030-67835-7_32" target="_blank" >https://doi.org/10.1007/978-3-030-67835-7_32</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-67835-7_32" target="_blank" >10.1007/978-3-030-67835-7_32</a>

Result language

angličtina

Original language name

SpotifyGraph: Visualisation of User's Preferences in Music

Original language description

Many music streaming portals recommend lists of songs to the users. These recommendations are often results of black-box algorithms (from the user&apos;s perspective). However, irrelevant recommendations without the proper justification may considerably hinder the user&apos;s trust. Moreover, user profiles in music streaming services tend to be very large, consisting of hundreds of artists and thousands of tracks. So, not only the recommendation procedure details are hidden for the user, but he/she often lacks a sufficient knowledge about the source data the recommendations are derived from. In order to cope with these challenges, we propose SpotifyGraph application. The application aims on a comprehensible visualization of the relations within the Spotify user&apos;s profile and therefore improve understandability of provided recommendations.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/GJ19-22071Y" target="_blank" >GJ19-22071Y: Flexible models for known-item search in large video collections</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

MultiMedia Modeling

ISBN

978-3-030-67835-7

ISSN

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e-ISSN

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Number of pages

6

Pages from-to

379-384

Publisher name

Springer International Publishing

Place of publication

Cham

Event location

Prague, Czech Republic

Event date

Jun 22, 2021

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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