A deep learning based chatbot for cultural heritage

Abstract

In this paper we propose an entertainment Chatbot based on the sequence to sequence model according to the Enconder-Decoder framework based on GRU cells for supporting user's cultural heritage path. A preliminary evaluation about the efficiency of the proposed approach has been performed asking to 10 users to interact with the Chatbot on cultural items of Campania Region.