My main interests are in various (context-aware) personalization techniques. I try to push forward the state of the art in context-aware reasoning, personalized learning to rank, tensor factorization, diversification methods for recommender systems.
I am also interested in variuos aspects of large scale systems that can serve milions of users worldwide.
I love the magic moments of the ideas coming to live.
Our paper on using RNNs for session recommendations was presented at ICLR2016.
I recently joined Neflix, where I continue working on personalization and various machine learning problems.
We released a new data set for context aware RS research: http://baltrunas.info/research-menu/frappe
We released a python recsys serving engine: https://github.com/grafos-ml/frappe/
We released Frappe: a context-aware app recommender for android into the wild.
We got the best paper award at Recsys 2012 pdf !