Personalization of user profiles for content-based music retrieval based on relevance feedback

Keywords

Computer science, Relevance feedback, Personalization, Relevance (law), Information retrieval

References

• RWC Music Database: Popular, Classical and Jazz Music DatabasesMasataka Goto, Hiroki Hashiguchi, Takuichi Nishimura — 2002
• The SMART Retrieval System—Experiments in Automatic Document ProcessingGerard Salton — 1971
• RWC Music Database: Music genre database and musical instrument sound databaseMasataka Goto, Hiroki Hashiguchi, Takuichi Nishimura — 2003
• Automatic Musical Genre Classification of Audio SignalsGeorge Tzanetakis — 2001
• Content-based methods for the management of digital musicDavid Pye — 2000
• Improving retrieval performance by relevance feedbackGerard Salton, Chris Buckley — 1997
• Implementation of relevance feedback for content-based music retrieval based on user prefencesKeiichiro Hoashi, Erik Zeitler, Naomi Inoue — 2002
• An overview of audio information retrievalJonathan Foote — 1999
• Content-based music indexing and organizationAndreas Rauber, Elias Pampalk, Dieter Merkl — 2002
• Robust temporal and spectral modeling for query By melodyShai Shalev‐Shwartz, Shlomo Dubnov, Nir Friedman — 2002
• Content-based retrieval of music and audioJonathan Foote — 1997
• Automatic indexing of a sound database using self-organizing neural netsBernhard Feiten, Stefan Günzel — 1994
• Personal DJ, an architecture for personalised content deliveryAdam Field, Pieter Hartel, Wim Mooij — 2001
• Comparison of Parametric Representations for Monosyllabic Word Recognition in Continuously Spoken SeS. Davis, P. Mermelstein — 1980
• Relevance feedback in information retrievalJ. J. Rocchio — 1971
• The TREC Spoken Document Retrieval Track: A Success StoryJohn S. Garofolo, Cedric G. P. Auzanne, Ellen M. Voorhees — 2000

Cited by

• eFox - Filesharing with Web ServicesJens Bruhn, Stefan Luckner, Markus P. Müller — 2005
• Hybrid Collaborative and Content-based Music Recommendation Using Probabilistic Model with Latent User PreferencesKazuyoshi Yoshii, Masataka Goto, Kazunori Komatani — 2006
• A model-based music recommendation system for individual users and implicit user groupsYajie Hu — 2014
• Taking Advantage of Editorial Metadata to Recommend MusicDmitry Bogdanov, Perfecto Herrera Boyer — 2012
• Supporting Folk-Song Research by Automatic Metric Learning and RankingJörg Garbers, Korinna Bade, Andreas Nürnberger — 2009
• Music Thumbnailer: Visualizing Musical Pieces in Thumbnail Images Based on Acoustic FeaturesKazuyoshi Yoshii, Masataka Goto — 2008
• Emotion-based music retrieval and recommendationJie Deng — 2014
• Hybrid music recommendation based on different dimensions of audio content and an entropy measureZehra Çataltepe, Berna Altınel — 2007
• Interactive Classification of Sound Objects for Polyphonic Electro-Acoustic Music AnnotationSébastien Gulluni, Slim Essid, Olivier Buisson — 2011
• Evaluating and Analysing Dynamic Playlist Generation Heuristics Using Radio Logs and Fuzzy Set TheoryKlaas Bosteels, Elias Pampalk, Etienne E. Kerre — 2009
• Contextual information retrieval from the WWWDilip Kumar Limbu — 2008
• Modeling subjective evaluation of music similarity using toleranceShota Kawabuchi, Norihide Kitaoka, Chiyomi Miyajima — 2013
• A new methodology for music retrieval based on dynamic neural networksLaura Elisa Pérez Gómez, Humberto Sossa, Ricardo Barrón — 2012
• How Much Metadata Do We Need in Music Recommendation? A Subjective Evaluation Using Preference SetsDmitry Bogdanov, Perfecto Herrera — 2011
• Contextual and concept-based interactive query expansionDilip Kumar Limbu, Russel Pears, AM Connor — 2006
• N-gram Parsing for Jointly Training a Discriminative Constituency ParserArda Çelebi, Arzucan Özgür — 2013
• Redes neuronales dinámicas aplicadas a la recomendación musical optimizadaLaura Elena Gómez Sánchez, Humberto Sossa Azuela, Ricardo Barrón — 2013
• Digital music libraries: interaction with MELIRISDimitrios Margounakis, Dionysios Politis — 2009
• Semantic content-based music retrieval using audio and fuzzy-music-sense featuresJa-Hwung Su, Chun-Yen Wang, Ting-Wei Chiu — 2014
• Competence-Based Song Recommendation: Matching Songs to One’s Singing SkillKuang Mao, Lidan Shou, Ju Fan — 2015

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