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Applying the stratified model of relevance interactions to music information retrieval

Published: 01 November 2013 Publication History

Abstract

While research on the notion of relevance has a long and rich history in information retrieval for textual documents, formal considerations of relevance concepts in Music Information Retrieval (MIR) remain scarce. We discuss the application of Saracevic's stratified model of relevance interactions to the music information domain. This model offers a tool for deliberation on the development of user-oriented MIR systems, and a framework for the aggregation of findings on the music information needs and behaviours of potential users.

References

[1]
Aucouturier, J. J., & Bigand, E. (2012). Mel Cepstrum & Ann Ova: The difficult dialog between MIR and music cognition. In Proceedings of the 13th International Society for Music Information Retrieval conference (ISMIR 2012), 397--402.
[2]
Cunningham, S. J., Jones, M., & Jones, S. (2004). Organizing digital music for use: an examination of personal music collections. In Proceedings of the 5th International Symposium on Music Information Retrieval (ISMIR 2004), 447--454.
[3]
Downie, J. S. (2003). Music information retrieval. Annual review of information science and technology, 37 (1), 295--340.
[4]
Downie, J. S., Byrd, D., & Crawford, T. (2009). Ten years of ISMIR: Reflections on challenges and opportunities. In Proceedings of the 10th International Society for Music Information Retrieval Conference (ISMIR 2009), 13--18.
[5]
Hu, X., Downie, J. S., Laurier, C., Bay, M., & Ehmann, A. F. (2008). The 2007 MIREX audio mood classification task: Lessons learned. In Proceedings of the 9th International Conference on Music Information Retrieval (ISMIR 2007), 462--467.
[6]
Inskip, C., MacFarlane, A., & Raffery, P. (2010). Creative professional users' musical relevance criteria. Journal of Information Science 36 (4), 517--529.
[7]
Lamere, P. (2008). Social tagging and music information retrieval. Journal of New Music Research 37 (2), 101--114.
[8]
Laplante, A. (2010a). Users' relevance criteria in music retrieval in everyday life: an exploratory study. In Proceedings of the 11th International Conference on Music Information Retrieval (ISMIR 2010), 601--606.
[9]
Laplante, A. (2010b). The role people play in adolescents' music information acquisition. In Workshop on Music Recommendation and Discovery, 29--32.
[10]
Lee, J. H., & Cunningham, S. J. (2012). The impact (or non-impact) of user studies in music information retrieval. In Proceedings of the 13th International Society for Music Information Retrieval conference (ISMIR 2012), 391--396.
[11]
Lee, J. H., & Cunningham, S. J. (2013). Toward an understanding of the history and impact of user studies in music information retrieval. Journal of Intelligent Information Systems, 1--23.
[12]
Parsons, D., & Levin, B. (1975). The directory of tunes and musical themes. Cambridge, England: S. Brown.
[13]
Saracevic, T. (1975). Relevance: A review of and a framework for the thinking on the notion in information science. Journal of the American Society for Information Science 26, 321--343.
[14]
Saracevic, T. (1997). The stratified model of information retrieval interaction: Extension and applications. In Proceedings of the American Society for Information Science 34, 313--327.
[15]
Saracevic, T. (2007). Relevance: A review of the literature and a framework for thinking on the notion in information science. Part II: Nature and manifestations of relevance. Journal of the American Society for Information Science and Technology 58 (13), 1915--1933.
[16]
Schedl, M., & Flexer, A. (2012). Putting the user in the center of music information retrieval. In Proceedings of the 13th International Society for Music Information Retrieval Conference (ISMIR 2012), 385--390.
[17]
Schedl, M., Flexer, A., & Urbano, J. (2013). The neglected user in music information retrieval research. Journal of Intelligent Information Systems. In press, retrieved June 18, 2013 from http://www.cp.jku.at/research/papers/schedl_jiis_2013.pdf
[18]
Serra, X. (2011). A multicultural approach in music information research. In Proceedings of the 12th International Society for Music Information Retrieval Conference (ISMIR 2011), 151--156.
[19]
Uitdenbogerd, A. L., & Yap, Y. W. (2003). Was Parsons right? An experiment in usability of music representations for melody-based music retrieval. In Proceedings of the 4th International Conference on Music Information Retrieval (ISMIR 2003), 75--79.
[20]
Weigl, D. M., & Guastavino, C. (2011). User studies in the music information retrieval literature. In Proceedings of the 12th International Society for Music Information Retrieval Conference (ISMIR 2011), 335--340.
[21]
Wiering, F. (2007). Can humans benefit from music information retrieval? In Adaptive Multimedia Retrieval: User, Context, and Feedback (pp. 82--94). Springer Berlin Heidelberg.
[22]
Wilson, T. (1997). Information behaviour: An interdisciplinary perspective*. Information Processing & Management, 33(4), 551--571.
[23]
Xu, Y. (2007). Relevance judgment in epistemic and hedonic information searches. Journal of the American Society for Information Science and Technology, 58(2), 179--189.
  1. Applying the stratified model of relevance interactions to music information retrieval

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      cover image DL Hosted proceedings
      ASIST '13: Proceedings of the 76th ASIS&T Annual Meeting: Beyond the Cloud: Rethinking Information Boundaries
      November 2013
      1065 pages
      ISBN:0877155453

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      American Society for Information Science

      United States

      Publication History

      Published: 01 November 2013

      Author Tags

      1. conceptual framework
      2. interaction
      3. music information retrieval
      4. music information users
      5. relevance

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      ASIST '13
      ASIST '13: Rethinking Information Boundaries
      November 1 - 5, 2013
      Quebec, Montreal, Canada

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      ASIST '13 Paper Acceptance Rate 83 of 128 submissions, 65%;
      Overall Acceptance Rate 135 of 277 submissions, 49%

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