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Search Mindsets: Understanding Focused and Non-Focused Information Seeking in Music Search.

, , , , , and . WWW, page 2971-2977. ACM, (2019)

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Workshop on Fairness, Accountability, Confidentiality, Transparency, and Safety in Information Retrieval (FACTS-IR)., , , and . SIGIR, page 1423-1425. ACM, (2019)Just Give Me What I Want: How People Use and Evaluate Music Search., , , , and . CHI, page 299. ACM, (2019)Understanding and Evaluating User Satisfaction with Music Discovery., , , , and . SIGIR, page 55-64. ACM, (2018)Assessing and Addressing Algorithmic Bias - But Before We Get There..., , and . AAAI Spring Symposia, AAAI Press, (2018)Search Mindsets: Understanding Focused and Non-Focused Information Seeking in Music Search., , , , , and . WWW, page 2971-2977. ACM, (2019)Local Trends in Global Music Streaming., , and . ICWSM, page 705-714. AAAI Press, (2020)Explaining Podcast Recommendations to Users with Content Diversity Labels 181-186., , , and . IUI Workshops, volume 3124 of CEUR Workshop Proceedings, page 181-186. CEUR-WS.org, (2022)Towards Fairness in Practice: A Practitioner-Oriented Rubric for Evaluating Fair ML Toolkits., , , , and . CHI, page 236:1-236:13. ACM, (2021)Translation, Tracks & Data: an Algorithmic Bias Effort in Practice., , , , and . CHI Extended Abstracts, ACM, (2019)FACTS-IR: fairness, accountability, confidentiality, transparency, and safety in information retrieval., , , , , , , , , and 22 other author(s). SIGIR Forum, 53 (2): 20-43 (2019)