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The CoMIRVA Toolkit for Visualizing Music-Related Data.

, , , and . EuroVis, page 147-154. Eurographics Association, (2007)

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A Document-Centered Approach to a Natural Language Music Search Engine., , , , and . ECIR, volume 4956 of Lecture Notes in Computer Science, page 627-631. Springer, (2008)Retrieving Relevant and Diverse Movie Clips Using the MFVCD-7K Multifaceted Video Clip Dataset., and . CBMI, page 1-4. IEEE, (2019)Movie Genome Recommender: A Novel Recommender System Based on Multimedia Content., , and . CBMI, page 1-4. IEEE, (2019)Audio-visual encoding of multimedia content for enhancing movie recommendations., , , , , and . RecSys, page 455-459. ACM, (2018)Three web-based heuristics to determine a person's or institution's country of origin., , , , and . SIGIR, page 801-802. ACM, (2010)A personality-based adaptive system for visualizing classical music performances., , , , , and . MMSys, page 15:1-15:7. ACM, (2016)Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features: Alleviating the Cold-Start Problem for Rare and Out-of-Set Songs., , , , and . DLRS@RecSys, page 46-54. ACM, (2017)Personality Traits and Music Genres: What Do People Prefer to Listen To?, , and . UMAP, page 285-288. ACM, (2017)Genre-based Analysis of Social Media Data on Music Listening Behavior: Are Fans of Classical Music Really Averse to Social Media?, and . WISMM, page 9-13. ACM, (2014)Introduction to Intelligent Music Systems and Applications., , and . ACM TIST, 8 (2): 17:1-17:8 (2017)