Music Recommendation Based on Multidimensional Description and Similarity Measures

被引：5
|
作者：
Kostek, Bozena [1 ]
Kaczmarek, Andrzej [2 ]
机构：
[1] Gdansk Univ Technol, Audio Acoust Lab, Fac Elect Telecomm & Informat, PL-80233 Gdansk, Poland
[2] Gdansk Univ Technol, Multimedia Syst Dept, Fac Elect Telecomm & Informat, PL-80233 Gdansk, Poland
来源：
FUNDAMENTA INFORMATICAE | 2013年 / 127卷 / 1-4期
关键词：
Music Information Retrieval (MIR); Music genre classification; Music parametrization; Query systems; Intelligent decision systems; GENRE CLASSIFICATION; INSTRUMENT; INFORMATION; SOUNDS;
D O I：
10.3233/FI-2013-912
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
This study aims to create an algorithm for assessing the degree to which songs belong to genres defined a priori. Such an algorithm is not aimed at providing unambiguous classification-labelling of songs, but at producing a multidimensional description encompassing all of the defined genres. The algorithm utilized data derived from the most relevant examples belonging to a particular genre of music. For this condition to be met, data must be appropriately selected. It is based on the fuzzy logic principles, which will be addressed further. The paper describes all steps of experiments along with examples of analyses and results obtained.
引用
收藏
页码：325 / 340
页数：16
相关论文
共 50 条
  • [1] Music Recommendation Based on Artist Novelty and Similarity
    Lin, Ning
    Tsai, Ping-Chia
    Chen, Yu-An
    Chen, Homer H.
    2014 IEEE 16TH INTERNATIONAL WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING (MMSP), 2014,
  • [2] Model Description of Similarity-Based Recommendation Systems
    Kanamori, Takafumi
    Osugi, Naoya
    ENTROPY, 2019, 21 (07)
  • [3] Music Recommendation Based on Multiple Contextual Similarity Information
    Chen, Chih-Ming
    Tsai, Ming-Feng
    Liu, Jen-Yu
    Yang, Yi-Hsuan
    2013 IEEE/WIC/ACM INTERNATIONAL JOINT CONFERENCES ON WEB INTELLIGENCE (WI) AND INTELLIGENT AGENT TECHNOLOGIES (IAT), VOL 1, 2013, : 65 - 72
  • [4] Similarity Measures for Multidimensional Data
    Baikousi, Eftychia
    Rogkakos, Georgios
    Vassiliadis, Panos
    IEEE 27TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2011), 2011, : 171 - 182
  • [5] Social Influence-Based Similarity Measures for User-User Collaborative Filtering Applied to Music Recommendation
    Sanchez-Moreno, Diego
    Perez-Marcos, Javier
    Gil Gonzalez, Ana B.
    Lopez Batista, Vivian
    Moreno-Garcia, Maria N.
    DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE, 2019, 801 : 267 - 274
  • [6] Moodplay: Interactive music recommendation based on Artists' mood similarity
    Andjelkovic, Ivana
    Parra, Denis
    O'Donovan, John
    INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, 2019, 121 : 142 - 159
  • [7] Personalised recommendation algorithm of music resources based on category similarity
    Peng L.
    Li D.
    International Journal of Reasoning-based Intelligent Systems, 2023, 15 (3-4) : 323 - 331
  • [8] Graph-based Recommendation Meets Bayes and Similarity Measures
    Lopes, Ramon
    Assuncao, Renato
    Santos, Rodrygo L. T.
    ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2020, 11 (01)
  • [9] A Study on the Accuracy of Prediction in Recommendation System Based on Similarity Measures
    AL-Bakri, Nadia Fadhil
    Hashim, Soukaena Hassan
    BAGHDAD SCIENCE JOURNAL, 2019, 16 (01) : 263 - 269
  • [10] Learning Content Similarity for Music Recommendation
    McFee, Brian
    Barrington, Luke
    Lanckriet, Gert
    IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2012, 20 (08): : 2207 - 2218
12345