Interpretable Real Estate Recommendations

Predicting what someone will want next is harder than it looks. Host Kyle Polich interviews Dr. Kunal Mukherjee, a postdoctoral research associate at Virginia Tech, about the paper "Z-REx: Human-Interpretable GNN Explanations for Real Estate Recommendations" The discussion explores how the post-COVID real estate landscape has created a need for better recommendation systems that can introduce home buyers to emerging neighborhoods they might not know about.

Guest

Kunal Mukherjee: I am a Postdoctoral Research Associate in the Department of Computer Science at Virginia Tech (Blacksburg, VA), working closely with Dr. Murat Kantarcıoğlu. I received my M.S. and Ph.D. in Computer Science from The University of Texas at Dallas, where I worked in the UTD SysSec Lab with Kangkook Jee and Murat Kantarcıoğlu.