Barbara Rychalska
AI researcher focused on recommender systems, natural language processing, and interpretability of deep learning models. She works as AI Research Director at Synerise. She is a laureate of many international AI competitions, i. e. SemEval, SIGIR Rakuten Challenge, WSDM Booking.com Challenge, Twitter RecSys Challenge, alongsite teams from Google DeepMind, Baidu, IBM, Amazon, NVIDIA. She is active in many international research networks, working with teams at MI2Datalab at Warsaw University of Technology, Nanyang Technological University in Singapore, Oxford University, and Jagiellonian University.
Sessions
We want to present Cleora – an open-source tool for creating compact representation of the behavior of your client. Cleora uses graph theory to transform streams of event data into embedding. It is suitable as an input for training models like churn, propensity and recommender systems. This is a talk useful for anyone who wishes to learn how to work with event data of clients and how to model client's behavior.