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Skip prediction using boosting trees based on acoustic features of tracks in sessions.

, , и . CoRR, (2019)

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Andrés Kecskeméthy

Andrés Bejas

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Andrés Roux

Andrés González

 

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Sequential recommendation: A study on transformers, nearest neighbors and sampled metrics., , и . Inf. Sci., (2022)Skip prediction using boosting trees based on acoustic features of tracks in sessions., , и . CoRR, (2019)Search a Great Leveler? Ensuring More Equitable Information Acquisition., , , , , , , , и . ASIST, том 58 из Proc. Assoc. Inf. Sci. Technol., стр. 613-618. Wiley, (2021)Music recommender systems: taking into account the artists' perspective.. Pompeu Fabra University, Spain, (2021)Artist and style exposure bias in collaborative filtering based music recommendations., , , и . CoRR, (2019)Automatic playlist continuation using a hybrid recommender system combining features from text and audio., , , , и . CoRR, (2019)Bias and Feedback Loops in Music Recommendation: Studies on Record Label Impact., , и . MORS@RecSys, том 3268 из CEUR Workshop Proceedings, CEUR-WS.org, (2022)Balancing Exposure and Relevance in Academic Search., , и . TREC, том 1266 из NIST Special Publication, National Institute of Standards and Technology (NIST), (2020)Measuring Commonality in Recommendation of Cultural Content: Recommender Systems to Enhance Cultural Citizenship., , , и . RecSys, стр. 567-572. ACM, (2022)On large-scale genre classification in symbolically encoded music by automatic identification of repeating patterns., и . DLfm, стр. 34-37. ACM, (2018)