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.
A deep learning based chatbot for cultural heritage / Sperli', G.. - (2020), pp. 935-937. (Intervento presentato al convegno 35th Annual ACM Symposium on Applied Computing, SAC 2020 tenutosi a cze nel 2020) [10.1145/3341105.3374129].
A deep learning based chatbot for cultural heritage
Sperli' G.
2020
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.File in questo prodotto:
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