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Dynamic inference of user context through social tag embedding for music recommendation.

, , , , и . CoRR, (2021)

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Inés María Gómez Muñoz

Manuel Muñoz-Expósito

Pedro Pablo Muñoz Pradas

Juan Muñoz

Eva Maria Muñoz Canales

 

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Dynamic inference of user context through social tag embedding for music recommendation., , , , и . CoRR, (2021)Simulation of a Directional Process by Means of an Anisotropic Buffer Operator., и . HAIS, том 10334 из Lecture Notes in Computer Science, стр. 331-341. Springer, (2017)Recommendation of Songs in Music Streaming Services: Dealing with Sparsity and Gray Sheep Problems., , , , и . PAAMS (Special Sessions), том 619 из Advances in Intelligent Systems and Computing, стр. 206-213. Springer, (2017)Representation of influence zones in commercial GISs for simulation of directional processes., , и . Log. J. IGPL, 28 (2): 185-196 (2020)Semantic Web Mining for Book Recommendation., , , и . IS-MiS, том 171 из Advances in Intelligent Systems and Computing, стр. 101-109. Springer, (2012)A collaborative filtering method for music recommendation using playing coefficients for artists and users., , , , и . Expert Syst. Appl., (2016)Review of Technologies and Platforms for Smart Cities., , , и . DCAI (Special Sessions), том 801 из Advances in Intelligent Systems and Computing, стр. 193-200. Springer, (2018)Social Network Community Detection to Deal with Gray-Sheep and Cold-Start Problems in Music Recommender Systems., , , , и . Inf., 15 (3): 138 (марта 2024)Opinion Mining System for Twitter Sentiment Analysis., , , , и . HAIS, том 12344 из Lecture Notes in Computer Science, стр. 465-476. Springer, (2020)Semantic Based Web Mining for Recommender Systems., , , и . DCAI, том 79 из Advances in Intelligent and Soft Computing, стр. 17-25. Springer, (2010)