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Robert Steven Lyons Professors talk about innovation and big data in the music streaming era

Source:音乐与录音艺术学院   Time:2015-11-06   ClickTimes:

Today, Robert Steven Lyons, professor of music at the Art Media and Design School of Northeastern University, conducted a lecture on innovation and big data in the music streaming era at Communication University of China. He elaborated on the commercial operation and content innovation of digital media.

Part I: Innovation on Music Streaming Streaming services for digital music have become the dominant trend in the music market. After completing the original competition between the number of music libraries and the quality of music, the professor believes that innovative services will become the key to promoting music streaming services Motivation for development and key points of future competition. In March 2014, Spotify purchased the EchoNetwork, which impacted the recommendation method. Through analyzing the purchase habits of major data users, collaborative screening and providing more detailed and user-friendly tags for the majority of users.

Part II: Data Analysis on Music Streaming Next, the professor showed us how data play a leading role in the music industry as well as in record companies through examples. For example, by surveying the number of students listening to songs nationwide, listening to songs at different times The number of students and the musical style preference of comparing the average of Northeastern University and the national university. Such detailed data statistics, more effectively for the music market provides the direction of development and listening to different audiences trends. Then Professor Robert introduced the streaming music services such as spotify and pandora, letting the scholars in the industry see the bright prospect of using the new digital media for music marketing. Recently, Spotify conducted a new service, giving half-price concessions to students nationwide, taking a location-based service to share with others at any time. They also collected six months of listener preference data to classify the audience's preferences for various types of music (due to the strong copyright copyright awareness in foreign countries, most of the songs require paid downloads and auditions). Data analysis can help to balance the financial conditions of damaged industries. In the data analysis, Spotify's service development more and more humane, but also provide a reference for the relevant industries, so that data analysis is valued.

Part Three: About Customer Demand Patterns in Music Streaming He introduced us to customer demand patterns in music streaming, including listening, managing, socializing, and pushing. As far as listening is concerned, most listeners feedback that they are passively listening and that they have no right to choose according to their own wishes, and all are recommended to themselves by various music streaming services. When the audience does not want to choose passive listening, they will manage their own playlists. Music sharing can be highlighted in the social networking community where audiences share their music to communicate and interact with other users in real time. As the audience looks for something new they love, they find a trusted guide, typically a service provider who can choose from the crowd. Professor Robert at the lecture stressed that streaming media data is valuable in many fields. He predicts that the data driving the analysis will become increasingly important in the music industry, record companies, creators and more. Helping to balance the financial situation of the damaged enterprises and fair pricing and feedback with streaming media service providers, artists and record companies.

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