Search Results - "Schedl, Markus"

Deep Learning in Music Recommendation Systems by Schedl, Markus

“…Like in many other research areas, deep learning (DL) is increasingly adopted in music recommendation systems (MRS). Deep neural networks are used in this…”
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Global and country-specific mainstreaminess measures: Definitions, analysis, and usage for improving personalized music recommendation systems by Bauer, Christine, Schedl, Markus

“…Popularity-based approaches are widely adopted in music recommendation systems, both in industry and research. These approaches recommend to the target user…”
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The relation of culture, socio-economics, and friendship to music preferences: A large-scale, cross-country study by Liu, Meijun, Hu, Xiao, Schedl, Markus

“…Music listening is an inherently cultural behavior, which may be shaped by users' backgrounds and contextual characteristics. Due to geographical,…”
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Perception and classification of emotions in nonsense speech: Humans versus machines by Parada-Cabaleiro, Emilia, Batliner, Anton, Schmitt, Maximilian, Schedl, Markus, Costantini, Giovanni, Schuller, Björn

“…This article contributes to a more adequate modelling of emotions encoded in speech, by addressing four fallacies prevalent in traditional affective computing:…”
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Song lyrics have become simpler and more repetitive over the last five decades by Parada-Cabaleiro, Emilia, Mayerl, Maximilian, Brandl, Stefan, Skowron, Marcin, Schedl, Markus, Lex, Elisabeth, Zangerle, Eva

“…Music is ubiquitous in our everyday lives, and lyrics play an integral role when we listen to music. The complex relationships between lyrical content, its…”
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Personality and taxonomy preferences, and the influence of category choice on the user experience for music streaming services by Ferwerda, Bruce, Yang, Emily, Schedl, Markus, Tkalcic, Marko

“…Music streaming services increasingly incorporate different ways for users to browse for music. Next to the commonly used “genre” taxonomy, nowadays additional…”
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Author Correction: Song lyrics have become simpler and more repetitive over the last five decades by Parada‑Cabaleiro, Emilia, Mayerl, Maximilian, Brandl, Stefan, Skowron, Marcin, Schedl, Markus, Lex, Elisabeth, Zangerle, Eva

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Correction: The relation of culture, socio-economics, and friendship to music preferences: A large-scale, cross-country study by Liu, Meijun, Hu, Xiao, Schedl, Markus

“…[This corrects the article DOI: 10.1371/journal.pone.0208186.]…”
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Support the underground: characteristics of beyond-mainstream music listeners by Kowald, Dominik, Muellner, Peter, Zangerle, Eva, Bauer, Christine, Schedl, Markus, Lex, Elisabeth

“…Music recommender systems have become an integral part of music streaming services such as Spotify and Last.fm to assist users navigating the extensive music…”
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Differential privacy in collaborative filtering recommender systems: a review by Müllner, Peter, Lex, Elisabeth, Schedl, Markus, Kowald, Dominik

“…State-of-the-art recommender systems produce high-quality recommendations to support users in finding relevant content. However, through the utilization of…”
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Exploring emotions in Bach chorales: a multi-modal perceptual and data-driven study by Parada-Cabaleiro, Emilia, Batliner, Anton, Zentner, Marcel, Schedl, Markus

“…The relationship between music and emotion has been addressed within several disciplines, from more historico-philosophical and anthropological ones, such as…”
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Modeling Popularity and Temporal Drift of Music Genre Preferences by Lex, Elisabeth, Kowald, Dominik, Schedl, Markus

“…In this paper, we address the problem of modeling and predicting the music genre preferences of users. We introduce a novel user modeling approach, 'BLLu',…”
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Intelligent User Interfaces for Music Discovery by Knees, Peter, Schedl, Markus, Goto, Masataka

“…Assisting the user in finding music is one of the original motivations that led to the establishment of Music Information Retrieval (MIR) as a research field…”
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Predicting the Price of Bitcoin Using Sentiment-Enriched Time Series Forecasting by Frohmann, Markus, Karner, Manuel, Khudoyan, Said, Wagner, Robert, Schedl, Markus

“…Recently, various methods to predict the future price of financial assets have emerged. One promising approach is to combine the historic price with sentiment…”
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Fairness of recommender systems in the recruitment domain: an analysis from technical and legal perspectives by Kumar, Deepak, Grosz, Tessa, Rekabsaz, Navid, Greif, Elisabeth, Schedl, Markus

“…Recommender systems (RSs) have become an integral part of the hiring process, be it via job advertisement ranking systems (job recommenders) for the potential…”
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Listener Modeling and Context-Aware Music Recommendation Based on Country Archetypes by Schedl, Markus, Bauer, Christine, Reisinger, Wolfgang, Kowald, Dominik, Lex, Elisabeth

“…Music preferences are strongly shaped by the cultural and socio-economic background of the listener, which is reflected, to a considerable extent, in…”
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Movie genome: alleviating new item cold start in movie recommendation by Deldjoo, Yashar, Dacrema, Maurizio Ferrari, Constantin, Mihai Gabriel, Eghbal-zadeh, Hamid, Cereda, Stefano, Schedl, Markus, Ionescu, Bogdan, Cremonesi, Paolo

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User Models for Culture-Aware Music Recommendation: Fusing Acoustic and Cultural Cues by Zangerle, Eva, Pichl, Martin, Schedl, Markus

“…Integrating information about the listener’s cultural background when building music recommender systems has recently been identified as a means to improve…”
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Investigating country-specific music preferences and music recommendation algorithms with the LFM-1b dataset by Schedl, Markus

“…Recently, the LFM-1b dataset has been proposed to foster research and evaluation in music retrieval and music recommender systems, Schedl (Proceedings of the…”
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Large-Scale Analysis of Group-Specific Music Genre Taste from Collaborative Tags by Schedl, Markus, Ferwerda, Bruce

“…In this paper, we describe the LFM-1b User Genre Profile dataset. It provides detailed information on musical genre preferences for more than 120,000 listeners…”
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