NDLI: A Probabilistic Model to Combine Tags and Acoustic Similarity for Music Retrieval

Content Provider	ACM Digital Library
Author	Orio, Nicola Miotto, Riccardo
Copyright Year	2012
Abstract	The rise of the Internet has led the music industry to a transition from physical media to online products and services. As a consequence, current online music collections store millions of songs and are constantly being enriched with new content. This has created a need for music technologies that allow users to interact with these extensive collections efficiently and effectively. Music search and discovery may be carried out using tags, matching user interests and exploiting content-based acoustic similarity. One major issue in music information retrieval is how to combine such noisy and heterogeneous information sources in order to improve retrieval effectiveness. With this aim in mind, the article explores a novel music retrieval framework based on combining tags and acoustic similarity through a probabilistic graph-based representation of a collection of songs. The retrieval function highlights the path across the graph that most likely $\textit{observes}$ a user query and is used to improve state-of-the-art music search and discovery engines by delivering more relevant ranking lists. Indeed, by means of an empirical evaluation, we show how the proposed approach leads to better performances than retrieval strategies which rank songs according to individual information sources alone or which use a combination of them.
Starting Page	1
Ending Page	29
Page Count	29
File Format	PDF
ISSN	10468188
e-ISSN	15582868
DOI	10.1145/2180868.2180870
Volume Number	30
Issue Number	2
Journal	ACM Transactions on Information Systems (TOIS)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-05-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Music information retrieval Acoustic similarity Graph structure Music discovery Probabilistic model Tags
Content Type	Text
Resource Type	Article
Subject	Computer Science Applications Information Systems Business, Management and Accounting

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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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
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