2025W

• Experiment Design and Execution / 194.192 / VU

• An Analysis of the Evolution of Music Listening Data and the Need for Task Discernment / Shashaani, S., Seshadri, P., & Knees, P. (2025). An Analysis of the Evolution of Music Listening Data and the Need for Task Discernment. In A. Ferraro, L. Porcaro, & C. Bauer (Eds.), Proceedings of the 3rd Music Recommender Systems Workshop (MuRS 2025) co-located with the 19th ACM Conference on Recommender Systems (RecSys 2025). CEUR-WS.
  Project: doc.hum (2024–2029)
• Towards Playlist Continuation Through Large-Scale Context and Audio-Based Music Representations / Shashaani, S., & Knees, P. (2025). Towards Playlist Continuation Through Large-Scale Context and Audio-Based Music Representations. In A. Ferraro, L. Porcaro, & C. Bauer (Eds.), Proceedings of the 3rd Music Recommender Systems Workshop (MuRS 2025) co-located with the 19th ACM Conference on Recommender Systems (RecSys 2025). CEUR-WS.
  Project: doc.hum (2024–2029)
• 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)
• 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)