On Estimating the Training Cost of Conversational Recommendation Systems
Stefanos Antaris,
Dimitrios Rafailidis,
Mohammad Aliannejadi
Abstract:Conversational recommendation systems have recently gain a lot of attention, as users can continuously interact with the system over multiple conversational turns. However, conversational recommendation systems are based on complex neural architectures, thus the training cost of such models is high. To shed light on the high computational training time of stateof-the art conversational models, we examine five representative strategies and demonstrate this issue. Furthermore, we discuss possible ways to cope wi… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.