scholarly journals Analysis of Song Popularity in Business Digital Music Streaming for Increasing Quality Using Kohonen SOM Algorithm

2019 ◽  
Vol 0 (5) ◽  
pp. 71
Author(s):  
Chyntia Kumalasari Puteri ◽  
M. Isa Irawan
Keyword(s):  
Digital Music ◽  
Som Algorithm ◽  
Kohonen Som ◽  
Music Streaming

scholarly journals “First Week Is Editorial, Second Week Is Algorithmic”: Platform Gatekeepers and the Platformization of Music Curation

2019 ◽  
Vol 5 (4) ◽  
pp. 205630511988000 ◽  
Author(s):  
Tiziano Bonini ◽  
Alessandro Gandini
Keyword(s):  
Big Data ◽  
Participant Observation ◽  
Digital Music ◽  
Ethnographic Research ◽  
Industrial Capitalism ◽  
Key Informants ◽  
Data Platform ◽  
The Relationship ◽  
Music Streaming

This article investigates the logics that underpin music curation, and particularly the work of music curators, working at digital music streaming platforms. Based on ethnographic research that combines participant observation and a set of interviews with key informants, the article questions the relationship between algorithmic and human curation and the specific workings of music curation as a form of platform gatekeeping. We argue that music streaming platforms in combining proprietary algorithms and human curators constitute the “new gatekeepers” in an industry previously dominated by human intermediaries such as radio programmers, journalists, and other experts. The article suggests understanding this gatekeeping activity as a form of “algo-torial power” that has the ability to set the “listening agendas” of global music consumers. While the power of traditional gatekeepers was mainly of an editorial nature, albeit data had some relevance in orienting their choices, the power of platform gatekepeers is an editorial power “augmented” and enhanced by algorithms and big data. Platform gatekeepers have more data, more tools to manage and to make sense of these data, and thus more power than their predecessors. Platformization of music curation then consists of a data-intense gatekeeping activity, based on different mixes of algo-torial logics, that produces new regimes of visibility. This makes the platform capitalistic model potentially more efficient than industrial capitalism in transforming audience attention into data and data into commodities.

Research on some problems in the Kohonen SOM algorithm

2003 ◽  
Author(s):  
Ying He ◽  
Tian-Jin Feng ◽  
Jun-Kuo Cao ◽  
Xiang-Qian Ding ◽  
Ying-Hui Zhou
Keyword(s):  
Som Algorithm ◽  
Kohonen Som

scholarly journals An ecosystem lens: Putting China’s digital music industry into focus

2016 ◽  
Vol 1 (4) ◽  
pp. 350-371 ◽  
Author(s):  
Diming Tang ◽  
Robert Lyons
Keyword(s):  
Value Chain ◽  
Service Providers ◽  
Music Industry ◽  
Ecosystem Model ◽  
Digital Music ◽  
Digital Service ◽  
Chinese Music ◽  
Recent Developments ◽  
User Data ◽  
Music Streaming

The digital disruption of the global music industry hits the value chain for recorded music hard. In China, new digital service providers began to amass large user bases, offering a variety of services based on e-commerce and social messaging applications. In a low-intellectual property environment, these services have become the primary sources of digital music streaming via the Internet and increasingly through mobile telephony. This article reviews the literature on the value chains within the Chinese music industry, compares a classic business ecosystem model with a more recent model, and examines available user data on current Chinese music streaming services. We then suggest an ecosystem framework toward understanding the digital music industry in China and discuss how this framework maps to recent developments in China’s digital music industry.

scholarly journals An Analysis of Music Fan Towards Music Streaming Purchase Intention of Thailand's Music Industry

2018 ◽  
Vol 6 (3a) ◽  
pp. 78
Author(s):  
Pannawit Sanitnarathorn
Keyword(s):  
Purchase Intention ◽  
Structural Equation ◽  
Quantitative Research ◽  
Music Industry ◽  
Partial Least Square ◽  
Model Verification ◽  
Least Square ◽  
Digital Music ◽  
Music Piracy ◽  
Music Streaming

Digital music streaming are climbing but overall music revenue is declining with digital music piracy being blamed as the culprit. In a 10 year period from 2003 to 2013, global music sales dropped from $US23.3 to $US15 billion dollars with Thailand’s music industry following the trend dropping from $US 304 million in 2010 to $US 279 million in 2014. The study therefore used a structural equation model to analyze the variables affecting digital music piracy and fan music streaming's purchase intention. From the seven point Likert scale questionnaire, 350 music fans were surveyed concerning their digital music streaming activities. The qualitative research was conducted with 10 executives in music industry by the use of purposive sampling. Partial Least Square Graph software was used for model verification with the results showing that fan idolatry has the highest influence on the overall decision to stream music digitally. The results showed that the results of quantitative research is practical and acceptable hypothesis significance at p ≤ 0.05 by factors that have a direct influence positive peak and overall influence is the highest passion to affect their willingness to stream music digitally to consumers. The findings of this study concluded that the artist's passion for their music fans is the key factor in music lover’s intent to stream and pay for digital music. Fans are ultimately the most important sector of the industry and unfortunately it is one which the industry forgets about. Labels or artists who focus on only ‘looking good’ while not engaging their fan audiences are destined for a continuing decline in their sales numbers.

scholarly journals How Incumbents Manage Waves of Disruptive Innovations: An Exploratory Analysis of the Global Music Industry

2019 ◽  
Vol 16 (01) ◽  
pp. 1950006 ◽  
Author(s):  
Andrea Urbinati ◽  
Davide Chiaroni ◽  
Vittorio Chiesa ◽  
Simone Franzò ◽  
Federico Frattini
Keyword(s):  
Open Innovation ◽  
Music Industry ◽  
Historical Analysis ◽  
Disruptive Innovation ◽  
Digital Music ◽  
Technological Changes ◽  
Disruptive Innovations ◽  
Music Distribution ◽  
Music Streaming ◽  
Over Time

Innovation scholars have paid special attention on the managerial approaches that incumbents should adopt to promptly respond to the emergence of disruptive innovations. These approaches include, among the others, the use of open innovation or the establishment of ambidextrous organizations. However, this body of research has not analyzed how incumbents use these approaches over time, although they are very often confronted with waves of disruptive innovations that cyclically take place along the lifecycle of an industry. This paper looks into this issue through a historical analysis of the global music industry. For each of the three waves of disruptive innovations that have hit this industry over the last 15 years (i.e. digital music distribution, permanent digital download and music streaming), we analyze the reactions of incumbents in terms of managerial approaches they adopted to respond to the emergence of the disruptive innovation. Therefore, we develop a model suggesting how incumbents evolve over time their responses to cycles of disruptive technological changes.

scholarly journals Dengue Disease Detection using K- Means, Hierarchical, Kohonen- SOM Clustering

2019 ◽  
Vol 8 (10) ◽  
pp. 904-907
Keyword(s):  
Data Mining ◽  
Clustering Algorithm ◽  
Research Work ◽  
Data Mining Algorithm ◽  
Clustering Method ◽  
Dengue Disease ◽  
Related Data ◽  
Som Algorithm ◽  
Som Clustering ◽  
Kohonen Som

Data Mining is the process of extracting useful information. Data Mining is about finding new information from pre-existing databases. It is the procedure of mining facts from data and deals with the kind of patterns that can be mined. Therefore, this proposed work is to detect and categorize the illness of people who are affected by Dengue through Data Mining techniques mainly as the Clustering method. Clustering is the method of finding related groups of data in a dataset and used to split the related data into a group of sub-classes. So, in this research work clustering method is used to categorize the age group of people those who are affected by mosquito-borne viral infection using K-Means and Hierarchical Clustering algorithm and Kohonen-SOM algorithm has been implemented in Tanagra tool. The scientists use the data mining algorithm for preventing and defending different diseases like Dengue disease. This paper helps to apply the algorithm for clustering of Dengue fever in Tanagra tool to detect the best results from those algorithms.

scholarly journals On-demand streaming services

Per Musi ◽  
2018 ◽  
Author(s):  
Rodrigo Fonseca e Rodrigues ◽  
Astréia Soares Batista
Keyword(s):  
Social Media ◽  
User Interfaces ◽  
Digital Music ◽  
Economic Implications ◽  
Modern Times ◽  
On Demand ◽  
Listening Experience ◽  
Streaming Services ◽  
Music Streaming ◽  
Production Industry

This paper discusses the listening experience provided by on-demand music streaming services and some of its aesthetic, cultural, technological, and economic implications. It also presents the concerns of performers and authors regarding the changes introduced to listening habits since modern times, the coexistence of analog media under the auspices of the content production industry, and the contemporary omnipresence of digital music. On-demand music streaming services stand as the hallmark of this era, by offering convenient access to music collections, customized playlists (scrobbling) integrated with social media, intuitive user interfaces, and, in some instances, the possibility of searching for and posting original content. Nonetheless, implicit constraints such as controlling for and blocking unlicensed files and supposedly restricting amateur musical creations and interventions have been implemented. The convenient, yet heavily mediated, listening experience provided by on-demand music streaming services should be rethought as a potentially creative instance of the “micropolitics of experimentation.”

scholarly journals Improving Music Streaming Services Through Metadata: Case Study from JOOX Indonesia

2021 ◽  
Vol 7 (1) ◽  
pp. 125-133
Author(s):  
Muhammad Usman Noor ◽  
Wihdah Askariyyah
Keyword(s):  
Single Case ◽  
Qualitative Interviews ◽  
Access Point ◽  
Digital Music ◽  
Metadata Standard ◽  
Documentary Analysis ◽  
Streaming Services ◽  
Music File ◽  
Music Streaming

Background of this Study: This article examines how digital music handled on music streaming services, JOOX Indonesia in particular. Purposes: The aims was to bring insight that metadata management skill could help an enhancement over music streaming services through metadata and to improve the user experience when using music streaming services.  Method:A single case study is chosen as the research method for this paper. The researcher did three months internship to see how the music file handled on the back end of JOOX. Semi-structured qualitative interviews and documentary analysis were used to collect and triangulate the qualitative data. Findings: The result shows JOOX using its operational self-possession procedures to handle its digital music file and using its own metadata standard with adaptation from music metadata standard. JOOX has a feature that utilizes music lyric. We found that lyric metadata embedded as a distinct entity on their backend system. Since lyric frequently used by the user as an access point when they do the retrieval, we propose to embed lyric as a field on music metadata to improve search result. Conclusion: These research shows are lyric as the essential part when users enjoy the music in music streaming services. By embed lyric on music metadata, lyric could be able as an access point for retrieval. Moreover, lyric as metadata could be part of music digital file handling.

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