UserSimCRS is an extensible user simulation toolkit for evaluating conversational recommender systems developed by Jafar Afzali, Krisztian Balog, Nolwenn Bernard, Aleksander Drzewiecki, and Shuo Zhang. This work has been presented at the 16th ACM International Conference on Web Search and Data Mining (WSDM ’23), in Singapore. Have a look at the demo paper or the toolkit for more details.
