Enhancing Music Recommender Systems with Personality Information and Emotional States: A Proposal

Bruce Ferwerda, Markus Schedl. Enhancing Music Recommender Systems with Personality Information and Emotional States: A Proposal. In Iván Cantador, Min Chi, Rosta Farzan, Robert Jäschke, editors, Posters, Demos, Late-breaking Results and Workshop Proceedings of the 22nd Conference on User Modeling, Adaptation, and Personalization co-located with the 22nd Conference on User Modeling, Adaptation, and Personalization (UMAP2014), Aalborg, Denmark, July 7-11, 2014. Volume 1181 of CEUR Workshop Proceedings, CEUR-WS.org, 2014. [doi]

@inproceedings{FerwerdaS14,
  title = {Enhancing Music Recommender Systems with Personality Information and Emotional States: A Proposal},
  author = {Bruce Ferwerda and Markus Schedl},
  year = {2014},
  url = {http://ceur-ws.org/Vol-1181/empire2014_paper_04.pdf},
  researchr = {https://researchr.org/publication/FerwerdaS14},
  cites = {0},
  citedby = {0},
  booktitle = {Posters, Demos, Late-breaking Results and Workshop Proceedings of the 22nd Conference on User Modeling, Adaptation, and Personalization co-located with the 22nd Conference on User Modeling, Adaptation, and Personalization (UMAP2014), Aalborg, Denmark, July 7-11, 2014},
  editor = {Iván Cantador and Min Chi and Rosta Farzan and Robert Jäschke},
  volume = {1181},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}