Automated Generation of Music Playlists: Survey and Experiments

@article{Bonnin2014AutomatedGO,
  title={Automated Generation of Music Playlists: Survey and Experiments},
  author={Geoffray Bonnin and Dietmar Jannach},
  journal={ACM Comput. Surv.},
  year={2014},
  volume={47},
  pages={26:1-26:35}
}
Most of the time when we listen to music on the radio or on our portable devices, the order in which the tracks are played is governed by so-called playlists. These playlists are basically sequences of tracks that traditionally are designed manually and whose organization is based on some underlying logic or theme. With the digitalization of music and the availability of various types of additional track-related information on the Web, new opportunities have emerged on how to automate the… CONTINUE READING

Figures, Tables, and Topics from this paper.

Citations

Publications citing this paper.
SHOWING 1-10 OF 71 CITATIONS, ESTIMATED 49% COVERAGE

Autoencoders for Next-Track-Recommendation

VIEW 15 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

Order, context and popularity bias in next-song recommendations

  • International Journal of Multimedia Information Retrieval
  • 2019
VIEW 9 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

A Contextual Random Walk Model for Automated Playlist Generation

  • 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)
  • 2018
VIEW 8 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

Session-based item recommendation in e-commerce: on short-term intents, reminders, trends and discounts

  • User Modeling and User-Adapted Interaction
  • 2017
VIEW 10 EXCERPTS
CITES RESULTS & BACKGROUND
HIGHLY INFLUENCED

User Perception of Next-Track Music Recommendations

VIEW 7 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

From manual to assisted playlist creation: a survey

  • Multimedia Tools and Applications
  • 2016
VIEW 15 EXCERPTS
CITES BACKGROUND, RESULTS & METHODS
HIGHLY INFLUENCED

FILTER CITATIONS BY YEAR

2014
2019

CITATION STATISTICS

  • 22 Highly Influenced Citations

  • Averaged 18 Citations per year over the last 3 years

  • 2% Increase in citations per year in 2018 over 2017

References

Publications referenced by this paper.
SHOWING 1-10 OF 25 REFERENCES

Probability based playlist generation based on music similarity and user customization

  • 2012 NATIONAL CONFERENCE ON COMPUTING AND COMMUNICATION SYSTEMS
  • 2012
VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

Towards a Class-Based Representation of Perceptual Tempo for Music Retrieval

  • 2009 International Conference on Machine Learning and Applications
  • 2009
VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

Estimating quality of playlists by sight

  • First International Conference on Automated Production of Cross Media Content for Multi-Channel Distribution (AXMEDIS'05)
  • 2005
VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

Similar Papers

Loading similar papers…