Lyric-based music recommendation

Derek Gossi, Mehmet H. Gunes

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    11 Scopus citations

    Abstract

    Traditional music recommendation systems rely on collaborative filtering to recommend songs or artists. This is computationally efficient and performs well method but is not effective when there is limited or no user input. For these cases, it may be useful to consider content-based recommendation. This paper considers a content-based recommendation system based on lyrical data. We compare a complex network of lyrical recommendations to an equivalent collaborative filtering network. We used user generated tag data from Last.fm to produce 23 subgraphs of each network based on tag categories representing musical genre, mood, and gender of vocalist. We analyzed these subgraphs to determine how recommendations within each network tend to stay within tag categories. Finally, we compared the lyrical recommendations to the collaborative filtering recommendations to determine how well lyrical recommendations perform. We see that the lyrical network is significantly more clustered within tag categories than the collaborative filtering network, particularly within small musical niches, and recommendations based on lyrics alone perform 12.6 times better than random recommendations.

    Original languageEnglish
    Title of host publicationComplex Networks VII - Proceedings of the 7th Workshop on Complex Networks CompleNet 2016
    EditorsHocine Cherifi, Bruno Goncalves, Ronaldo Menezes, Roberta Sinatra
    Pages301-310
    Number of pages10
    DOIs
    StatePublished - 2016
    Event7th Workshop on Complex Networks CompleNet, 2016 - Dijon, France
    Duration: 23 Mar 201625 Mar 2016

    Publication series

    NameStudies in Computational Intelligence
    Volume644
    ISSN (Print)1860-949X

    Conference

    Conference7th Workshop on Complex Networks CompleNet, 2016
    Country/TerritoryFrance
    CityDijon
    Period23/03/1625/03/16

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