Music Recommendation Based on Acoustic Features and User Access Patterns

Journal article

Peer reviewed

B O BO SHAO, DINGDING DINGDING WANG, TAO TAO LI and Mitsunori OGIHARA

IEEE transactions on audio, speech, and language processing, Vol.17(8), pp.1602-1611

2009

Abstract

Signal and communications theory

Telecommunications and information theory

Exact sciences and technology

Signal, noise

Applied sciences

Information, signal and communications theory

Detection, estimation, filtering, equalization, prediction

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Collaboration types: Domestic collaboration
Citation topics: 10 Arts & Humanities; 10.240 Music; 10.240.657 Music Psychology
Web Of Science research areas: Acoustics; Engineering, Electrical & Electronic
ESI research areas: Engineering

This output has contributed to the advancement of the following goals:

Source: InCites

Title: Music Recommendation Based on Acoustic Features and User Access Patterns
Creators: B O BO SHAO - School of Computer Science, Florida International University, Miami, FL 33199, United States
DINGDING DINGDING WANG - School of Computer Science, Florida International University, Miami, FL 33199, United States
TAO TAO LI - School of Computer Science, Florida International University, Miami, FL 33199, United States
Mitsunori OGIHARA - Department of Computer Science, University of Miami, Coral Gables, FL 33146, United States
Publication Details: IEEE transactions on audio, speech, and language processing, Vol.17(8), pp.1602-1611
Publisher: Institute of Electrical and Electronics Engineers; Piscataway, NJ
Academic Unit: College of A&S; A&S - Computer Science
Language: English
Resource Type: Journal article
Record Identifier: 991031562192102976