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Show me a "Male Nurse"! How Gender Bias is Reflected in the Query Formulation of Search Engine Users.

, , , , , и . CHI, стр. 137:1-137:15. ACM, (2023)

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Hans Schedl

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Personality & Emotional States: Understanding Users' Music Listening Needs., , и . UMAP Workshops, том 1388 из CEUR Workshop Proceedings, CEUR-WS.org, (2015)Music4All-Onion - A Large-Scale Multi-faceted Content-Centric Music Recommendation Dataset., , , , и . CIKM, стр. 4339-4343. ACM, (2022)How item discovery enabled by diversity leads to increased recommendation list attractiveness., , , , и . SAC, стр. 1693-1696. ACM, (2017)Traces of Globalization in Online Music Consumption Patterns and Results of Recommendation Algorithms., , , , , и . ISMIR, стр. 291-297. (2022)Verse versus Chorus: Structure-aware Feature Extraction for Lyrics-based Genre Recognition., , , , и . ISMIR, стр. 884-890. (2022)Movie genome: alleviating new item cold start in movie recommendation., , , , , , , и . User Model. User Adapt. Interact., 29 (2): 291-343 (2019)An Analysis of Approaches Taken in the ACM RecSys Challenge 2018 for Automatic Music Playlist Continuation., , , и . ACM Trans. Intell. Syst. Technol., 10 (5): 57:1-57:21 (2019)ReuseKNN: Neighborhood Reuse for Differentially Private KNN-Based Recommendations., , , и . ACM Trans. Intell. Syst. Technol., 14 (5): 80:1-80:29 (октября 2023)Affect in Multimedia: Benchmarking Violent Scenes Detection., , , , , , и . IEEE Trans. Affect. Comput., 13 (1): 347-366 (2022)Exploring Music Diversity Needs Across Countries., , , и . UMAP, стр. 287-288. ACM, (2016)