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2019 | OriginalPaper | Chapter

An Approach to Conversational Recommendation of Restaurants

Authors : Nicola Sardella, Claudio Biancalana, Alessandro Micarelli, Giuseppe Sansonetti

Published in: HCI International 2019 - Posters

Publisher: Springer International Publishing

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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.

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Arru, G., Feltoni Gurini, D., Gasparetti, F., Micarelli, A., Sansonetti, G.: Signal-based user recommendation on Twitter. In: Proceedings of the 22nd International Conference on World Wide Web, WWW 2013 Companion, pp. 941–944. ACM, New York (2013)

Biancalana, C., Flamini, A., Gasparetti, F., Micarelli, A., Millevolte, S., Sansonetti, G.: Enhancing traditional local search recommendations with context-awareness. In: Konstan, J.A., Conejo, R., Marzo, J.L., Oliver, N. (eds.) UMAP 2011. LNCS, vol. 6787, pp. 335–340. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-22362-4_29CrossRef

Biancalana, C., Gasparetti, F., Micarelli, A., Miola, A., Sansonetti, G.: Context-aware movie recommendation based on signal processing and machine learning. In: Proceedings of the 2nd Challenge on Context-Aware Movie Recommendation, CAMRa 2011, pp. 5–10. ACM, New York (2011)

Biancalana, C., Gasparetti, F., Micarelli, A., Sansonetti, G.: An approach to social recommendation for context-aware mobile services. ACM Trans. Intell. Syst. Technol. 4(1), 10:1–10:31 (2013)CrossRef

Biancalana, C., Gasparetti, F., Micarelli, A., Sansonetti, G.: Social semantic query expansion. ACM Trans. Intell. Syst. Technol. 4(4), 60:1–60:43 (2013)CrossRef

Bologna, C., De Rosa, A.C., De Vivo, A., Gaeta, M., Sansonetti, G., Viserta, V.: Personality-based recommendation in E-commerce. In: CEUR Workshop Proceedings, vol. 997. CEUR-WS.org, Aachen (2013)

Caldarelli, S., Feltoni Gurini, D., Micarelli, A., Sansonetti, G.: A signal-based approach to news recommendation. In: CEUR Workshop Proceedings, vol. 1618. CEUR-WS.org, Aachen (2016)

Christakopoulou, K., Radlinski, F., Hofmann, K.: Towards conversational recommender systems. In: Proceedings of the 22nd ACM SIGKDD, KDD 2016, pp. 815–824. ACM, New York (2016)

D’Agostino, D., Gasparetti, F., Micarelli, A., Sansonetti, G.: A social context-aware recommender of itineraries between relevant points of interest. In: Stephanidis, C. (ed.) HCI 2016. CCIS, vol. 618, pp. 354–359. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-40542-1_58CrossRef

10.

D’Aniello, G., Gaeta, A., Gaeta, M., Loia, V., Reformat, M.Z.: Collective awareness in smart city with fuzzy cognitive maps and fuzzy sets. In: IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1554–1561, July 2016

11.

D’Aniello, G., Gaeta, M., Reformat, M.Z.: Collective perception in smart tourism destinations with rough sets. In: 3rd IEEE International Conference on Cybernetics (CYBCONF), pp. 1–6, June 2017

12.

Feltoni Gurini, D., Gasparetti, F., Micarelli, A., Sansonetti, G.: A sentiment-based approach to Twitter user recommendation. In: CEUR Workshop Proceedings, vol. 1066. CEUR-WS.org, Aachen (2013)

13.

Gurini, D.F., Gasparetti, F., Micarelli, A., Sansonetti, G.: iSCUR: interest and sentiment-based community detection for user recommendation on Twitter. In: Dimitrova, V., Kuflik, T., Chin, D., Ricci, F., Dolog, P., Houben, G.-J. (eds.) UMAP 2014. LNCS, vol. 8538, pp. 314–319. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-08786-3_27CrossRef

14.

Feltoni Gurini, D., Gasparetti, F., Micarelli, A., Sansonetti, G.: Analysis of sentiment communities in online networks. In: CEUR Workshop Proceedings, vol. 1421, pp. 17–20 (2015)

15.

Feltoni Gurini, D., Gasparetti, F., Micarelli, A., Sansonetti, G.: Enhancing social recommendation with sentiment communities. In: Wang, J., et al. (eds.) WISE 2015. LNCS, vol. 9419, pp. 308–315. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-26187-4_28CrossRef

16.

Feltoni Gurini, D., Gasparetti, F., Micarelli, A., Sansonetti, G.: Temporal people-to-people recommendation on social networks with sentiment-based matrix factorization. Future Gener. Comput. Syst. 78, 430–439 (2018)CrossRef

17.

Fogli, A., Micarelli, A., Sansonetti, G.: Enhancing itinerary recommendation with linked open data. In: Stephanidis, C. (ed.) HCI 2018. CCIS, vol. 850, pp. 32–39. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-92270-6_5CrossRef

18.

Fogli, A., Sansonetti, G.: Exploiting semantics for context-aware itinerary recommendation. Pers. Ubiquit. Comput. (2019)

19.

Gasparetti, F., Micarelli, A., Sansonetti, G.: Exploiting web browsing activities for user needs identification. In: International Conference on Computational Science and Computational Intelligence, vol. 2, pp. 86–89, March 2014

20.

Greco, C., Suglia, A., Basile, P., Semeraro, G.: Converse-Et-Impera: exploiting deep learning and hierarchical reinforcement learning for conversational recommender systems. In: Esposito, F., Basili, R., Ferilli, S., Lisi, F. (eds.) AI*IA 2017. LNCS, vol. 10640, pp. 372–386. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-70169-1_28CrossRef

21.

Hassan, H.A.M., Sansonetti, G., Gasparetti, F., Micarelli, A.: Semantic-based tag recommendation in scientific bookmarking systems. In: Proceedings of the 12th ACM Conference on Recommender Systems, RecSys 2018, pp. 465–469. ACM, New York (2018)

22.

Kucherbaev, P., Psyllidis, A., Bozzon, A.: Chatbots as conversational recommender systems in urban contexts. In: Proceedings of the International Workshop on Workshop on Recommender Systems for Citizens, CitRec 2017, pp. 6:1–6:2. ACM, New York (2017)

23.

Micarelli, A., Neri, A., Sansonetti, G.: A case-based approach to image recognition. In: Blanzieri, E., Portinale, L. (eds.) EWCBR 2000. LNCS, vol. 1898, pp. 443–454. Springer, Heidelberg (2000). https://doi.org/10.1007/3-540-44527-7_38CrossRef

24.

Narducci, F., de Gemmis, M., Lops, P., Semeraro, G.: Recommender systems in the internet of talking things (IoTT). In: Proceedings of the Poster Track of the 11th ACM Conference on Recommender Systems (RecSys 2017), Como, 28 August 2017

25.

Onori, M., Micarelli, A., Sansonetti, G.: A comparative analysis of personality-based music recommender systems. In: CEUR Workshop Proceedings, vol. 1680, pp. 55–59. CEUR-WS.org, Aachen (2016)

26.

Ricci, F., Rokach, L., Shapira, B.: Recommender Systems Handbook, 2nd edn. Springer, New York (2015). https://doi.org/10.1007/978-0-387-85820-3CrossRefMATH

27.

Salakhutdinov, R., Mnih, A.: Probabilistic matrix factorization. In: Proceedings of the 20th International Conference on Neural Information Processing Systems, NIPS 2007, pp. 1257–1264. Curran Associates Inc., USA (2007)

28.

Sansonetti, G.: Point of interest recommendation based on social and linked open data. Pers. Ubiquit. Comput. (in press)

29.

Sansonetti, G., Feltoni Gurini, D., Gasparetti, F., Micarelli, A.: Dynamic social recommendation. In: Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017, pp. 943–947. ACM, New York (2017)

30.

Sansonetti, G., Gasparetti, F., Micarelli, A., Cena, F., Gena, C.: Enhancing cultural recommendations through social and linked open data. User Model. User-Adap. Inter. 29, 121 (2019)CrossRef

Title: An Approach to Conversational Recommendation of Restaurants
Authors: Nicola Sardella
Claudio Biancalana
Alessandro Micarelli
Giuseppe Sansonetti
Publisher: Springer International Publishing
Book: HCI International 2019 - Posters
Print ISBN: 978-3-030-23524-6

Electronic ISBN: 978-3-030-23525-3

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-3-030-23525-3_16

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