TU Wien Informatics

Role

  • Explainability in Music Recommender System / Shashaani, S. (2024). Explainability in Music Recommender System. In T. Di Noia, P. Lops, T. Joachims, K. Verbert, P. Castells, Z. Dong, & B. London (Eds.), RecSys ’24: Proceedings of the 18th ACM Conference on Recommender Systems (pp. 1395–1401). https://doi.org/10.1145/3640457.3688028
    Download: PDF (457 KB)
    Project: HumRec (2021–2025)
  • Enhancing Sequential Music Recommendation with Negative Feedback-informed Contrastive Learning / Seshadri, P., Shashaani, S., & Knees, P. (2024). Enhancing Sequential Music Recommendation with Negative Feedback-informed Contrastive Learning. In T. Di Noia, P. Lops, T. Joachims, K. Verbert, P. Castells, Z. Dong, & B. London (Eds.), RecSys ’24: Proceedings of the 18th ACM Conference on Recommender Systems (pp. 1028–1032). Association for Computing Machinery. https://doi.org/10.1145/3640457.3688188
    Download: PDF (575 KB)
    Project: HumRec (2021–2025)