SPOTIFYEXPLAINED: User-centric Mobile Application for Music Exploration

被引:0
|
作者
Savcinsky, Richard [1 ]
Peska, Ladislav [1 ]
机构
[1] Charles Univ Prague, Fac Math & Phys, Prague, Czech Republic
关键词
Music recommender systems; Visual explanations; Spotify;
D O I
10.1145/3563359.3597392
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Many music streaming services, such as Spotify, contain a large volume of heavy users, whose user profiles may contain tens to hundreds artists or hundreds to thousands favorite tracks. For those users, it may be difficult to understand, what data the service collected about them, what is the base for its automated decisions (e.g., recommendations) and why are particular items suggested to them. This may decrease user's willingness to explore the suggested content and may eventually lead to the decrease of user satisfaction and trust. In this demo, we present SPOTIFYEXPLAINED Android application, which is built on top of Spotify API and aims to bridge the aforementioned understandability gap. Specifically, the application contains several tunable views on users' music profiles and visually explain the connections between both the already known content as well as newly suggested items.
引用
收藏
页码:92 / 95
页数:4
相关论文
共 50 条
  • [41] USER-CENTRIC PROCESS DESCRIPTIONS
    Deynet, Michael
    [J]. PROCEEDINGS OF THE 2011 3RD INTERNATIONAL CONFERENCE ON SOFTWARE TECHNOLOGY AND ENGINEERING (ICSTE 2011), 2011, : 209 - 214
  • [42] On user-centric memetic algorithms
    Reyes Badillo, Ana
    Jesus Ruiz, Juan
    Cotta, Carlos
    Fernandez-Leiva, Antonio J.
    [J]. SOFT COMPUTING, 2013, 17 (02) : 285 - 300
  • [43] User-centric multimedia information visualization for mobile devices in the ubiquitous environment
    Choi, Yoo-Joo
    Yoo, Seong Joon
    Choi, Soo-Mi
    Waldeck, Carsten
    Balfanz, Dirk
    [J]. KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS, 2006, 4251 : 753 - 762
  • [44] User-centric power saving in self-organizing mobile networks
    Artuso, Matteo
    Thrane, Jakob
    Christiansen, Henrik Lehrmann
    [J]. 2018 IEEE 88TH VEHICULAR TECHNOLOGY CONFERENCE (VTC-FALL), 2018,
  • [45] Design of Life-context for User-centric Service in Mobile Environments
    Kang, Byeongkwan
    Choi, Myeong-in
    Kim, Seung Hwan
    Jeon, Seonki
    Lee, Sanghoon
    Park, Sehyun
    [J]. 2017 NINTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN 2017), 2017, : 30 - 32
  • [46] User-Centric Indoor Air-Quality Monitoring on Mobile Devices
    Jiang, Yifei
    Li, Kun
    Piedrahita, Ricardo
    Xiang, Yun
    Tian, Lei
    Mansata, Omkar
    Lv, Qin
    Dick, Robert P.
    Hannigan, Michael
    Shang, Li
    [J]. AI MAGAZINE, 2013, 34 (02) : 11 - 30
  • [47] The CASPER user-centric approach for advanced service provisioning in mobile networks
    Liotou, Eirini
    Tsolkas, Dimitris
    Kalpaktsoglou, Giorgos
    Tennina, Stefano
    Pomante, Luigi
    Passas, Nikos
    [J]. MICROPROCESSORS AND MICROSYSTEMS, 2020, 77
  • [48] On user-centric memetic algorithms
    Ana Reyes Badillo
    Juan Jesús Ruiz
    Carlos Cotta
    Antonio J. Fernández-Leiva
    [J]. Soft Computing, 2013, 17 : 285 - 300
  • [49] User-Centric Similarity Search
    Georgoulas, Konstantinos
    Vlachou, Akrivi
    Doulkeridis, Christos
    Kotidis, Yannis
    [J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2017, 29 (01) : 200 - 213
  • [50] User-centric broadband networks
    Van Bogaert, J
    Tournassoud, P
    [J]. ALCATEL TELECOMMUNICATIONS REVIEW, 2005, (01): : 26 - 31