GaMuSo: Graph base music recommendation in a social bookmarking service

J. Knijf, de, A.M.L. Liekens

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review


    In this work we describe a recommendation system based upon user-generated description (tags) of content. In particular, we describe an experimental system (GaMuSo) that consists of more than 140.000 user-defined tags for over 400.000 artists. From this data we constructed a bipartite graph, linking artists via tags to other artists. On the resulting graph we compute related artists for an initial artist of interest. In this work we describe and analyse our system and show that a straightforward recommendation approach leads to related concepts that are overly general, that is, concepts that are related to almost every other concept in the graph. Additionally, we describe a method to provide functional hypothesis for recommendations, given the user insight why concepts are related. GaMuSo is implemented as a webservice and available at:
    Originele taal-2Engels
    TitelAdvances in Intelligent Data Analysis X (10th International Symposium, IDA 2011, Porto, Portugal, October 29-31, 2011. Proceedings)
    RedacteurenJ. Gama, E. Bradley, J. Hollmén
    Plaats van productieBerlin
    ISBN van geprinte versie978-3-642-24799-6
    StatusGepubliceerd - 2011

    Publicatie series

    NaamLecture Notes in Computer Science
    ISSN van geprinte versie0302-9743


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