In this paper, we propose an approach based on the integration of a chatbot module, a location-based service, and a recommendation algorithm. This approach has been deployed for restaurant recommendation, tested on a sample of 50 real users, and compared with some state-of-the-art algorithms. The preliminary experimental results showed the benefits of the proposed approach in terms of performance. An ANOVA test enabled us to verify the statistical significance of the obtained findings.
Sardella, N., Biancalana, C., Micarelli, A., Sansonetti, G. (2019). An Approach to Conversational Recommendation of Restaurants. In Communications in Computer and Information Science (pp.123-130). Springer Verlag [10.1007/978-3-030-23525-3_16].
An Approach to Conversational Recommendation of Restaurants
Biancalana C.;Micarelli A.;Sansonetti G.
2019-01-01
Abstract
In this paper, we propose an approach based on the integration of a chatbot module, a location-based service, and a recommendation algorithm. This approach has been deployed for restaurant recommendation, tested on a sample of 50 real users, and compared with some state-of-the-art algorithms. The preliminary experimental results showed the benefits of the proposed approach in terms of performance. An ANOVA test enabled us to verify the statistical significance of the obtained findings.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
