NDLI: Social mix: automatic music recommendation and mixing scheme based on social network analysis

Content Provider	Springer Nature Link
Author	Jun, Sanghoon Kim, Daehoon Jeon, Mina Rho, Seungmin Hwang, Eenjun
Copyright Year	2014
Abstract	General preferences for music change over time. Moreover, music preferences depend on diverse factors, such as language, people, location, and culture. This dependency should be carefully considered to provide satisfactory music recommendations. Presently, typical music recommendations simply involve providing a list of songs that are then played sequentially or randomly. Recently, there has been an increasing demand for new music recommendation and playback methods. In this paper, we propose a scheme for recommending music automatically by considering both personal and general musical predilections, and for blending such music into a mixed clip for seamless playback. For automatic music recommendations, we first analyze social networks to identify a general predilection for certain music genres that depends on time and location. Songs that are generally preferred within a certain time period and location are identified through statistical analysis. This is done by analyzing, filtering, and storing massive social network streams into our own database in real time. In addition, a personal predilection for certain music genres can be inferred by analyzing similar user relationships in social network services. We selected such music based on instant graphs that are generated by user relationships and underlying music information. After the songs are selected, an automatic music mixing method is used to blend those songs into a continuous music clip. We implemented a prototype system and experimentally confirmed that our scheme provides satisfactory results.
Starting Page	1933
Ending Page	1954
Page Count	22
File Format	PDF
ISSN	09208542
Journal	The Journal of Supercomputing
Volume Number	71
Issue Number	6
e-ISSN	15730484
Language	English
Publisher	Springer US
Publisher Date	2014-04-26
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Music recommendation Social network service Twitter Music structure Music mixing Programming Languages, Compilers, Interpreters Processor Architectures Computer Science
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Information Systems Hardware and Architecture Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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