Archiv der Kategorie: MIR Research

Weihs, C., Jannach, D., Vatolkin, I., Rudolph, G. (Eds.): Music data analysis: foundations and applications. https://www.crcpress.com/Music-Data-Analysis-Foundations-and-Applications/Weihs-Jannach-Vatolkin-Rudolph/p/book/9781498719568 This book edited and co-authored by SIGMA members and several partners provides a comprehensive overview of music data analysis, from introductory material to advanced … Weiterlesen →

Jannach, D., Kamehkhosch, I., Bonnin, G.: Biases in Automated Music Playlist Generation: A Comparison of Next-Track Recommending Techniques, User Modeling, Adaptation and Personalization (UMAP 2016), Halifax, CA, 2016 In this work, the results of a multi-metric comparison of different academic … Weiterlesen →

Two papers were accepted for upcoming conferences: D. Jannach, L. Lerche, I. Kamehkhosh: Beyond „Hitting the Hits“ – Generating Coherent Music Playlist Continuations with the Right Tracks. Proceedings of the 9th ACM Conference on Recommender Systems (RecSys 2015), Vienna, 2015 … Weiterlesen →

This month two papers were accepted. The first one will appear in post-proceedings of ECDA 2014 and compares audio features and playlist statistics for music classification: I. Vatolkin, G. Bonnin, D. Jannach – Comparing Audio Features and Playlist Statistics for … Weiterlesen →

The paper I. Vatolkin – Exploration of Two-Objective Scenarios on Supervised Evolutionary Feature Selection: a Survey and a Case Study (Application to Music Categorisation) is accepted for EMO 2015. The conference will take place on 29.3-1.4.2015 in Guimarães, Portugal.

The article G. Bonnin and D. Jannach – Automated Generation of Music Playlists: Survey and Experiments, ACM Computing Surveys, Vol. 47, No. 2, Article 26 is now available online. The paper is a detailed survey on playlist generation. First, different … Weiterlesen →