Music Recommendation with Natural-Language Profiles @ MURS 2025
Large Language Models (LLM) open up many opportunities for how humans interact with recommender systems. In particular, I’m interested in[…]
Read moreProfessor of Computer Science at Ithaca College
Large Language Models (LLM) open up many opportunities for how humans interact with recommender systems. In particular, I’m interested in[…]
Read moreWhen I was in high school, I went to a ton of shows at small music venues in and around[…]
Read moreOur goal for localify last summer was to launch a professional grade version of Localify. This included developing: For the[…]
Read moreSummary: With the rise of generative music, some listeners will increasingly value “authentic” music experiences with human artists who perform[…]
Read moreOur goal at Localify.org is to help people discover local artists within their communities. However, it is difficult to design[…]
Read moreIn our research on long-tail music recommendation, we have come across three distinct forms of popularity bias: In this post,[…]
Read moreI asked ChatGPT to “Write a short academic paper about local music recommendation.” Here is what it put out: Local[…]
Read moreAlmost all of my research has focused on technical topics such as digital signal processing, machine learning, and recommendation algorithms.[…]
Read moreOne of the emerging topics in machine learning research is “fairness” and “bias” in recommendation algorithms. For example, when a[…]
Read more(tl;dr – Porchfest.live – your guide to an afternoon of local music.) A Porchfest is a music event where local[…]
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