Archiv der Kategorie: MIR Research

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 →

The paper on the analysis of playlist characteristics (D. Jannach, I. Kamehkhosh, and G. Bonnin – Analyzing the Characteristics of Shared Playlists for Music Recommendation) is accepted for the 6th ACM RecSys Workshop on Recommender Systems and Social Web.