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Measuring Bias in Search Results Through Retrieval List Comparison.

, , , and . ECIR (5), volume 14612 of Lecture Notes in Computer Science, page 20-34. Springer, (2024)

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Improving Prototypical Artist Detection by Penalizing Exorbitant Popularity., , and . CMMR, volume 3902 of Lecture Notes in Computer Science, page 196-200. Springer, (2005)Investigating Web-Based Approaches to Revealing Prototypical Music Artists in Genre Taxonomies., , and . ICDIM, page 519-524. IEEE, (2006)The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study., , and . CoRR, (2019)Music Information Retrieval: Recent Developments and Applications., , and . Found. Trends Inf. Retr., 8 (2-3): 127-261 (2014)Supervised and Unsupervised Web Document Filtering Techniques to Improve Text-Based Music Retrieval., , , , and . ISMIR, page 543-548. International Society for Music Information Retrieval, (2010)Augmenting Text-based Music Retrieval with Audio Similarity: Advantages and Limitations., , , , , and . ISMIR, page 579-584. International Society for Music Information Retrieval, (2009)Multiple Lyrics Alignment: Automatic Retrieval of Song Lyrics., , and . ISMIR, page 564-569. (2005)Music Tower Blocks: Multi-Faceted Exploration Interface for Web-Scale Music Access., , and . ICMR, page 388-392. ACM, (2020)Movie genome: alleviating new item cold start in movie recommendation., , , , , , , and . User Model. User Adapt. Interact., 29 (2): 291-343 (2019)On the Interrelation Between Listener Characteristics and the Perception of Emotions in Classical Orchestra Music., , , , , and . IEEE Trans. Affect. Comput., 9 (4): 507-525 (2018)