Abstract
Conversational systems are growing their success among users thanks to their ability to collect and rank users’ preferences and provide them relevant information in a simple way. In this paper we present C’Meal, a chatbot-based conversational framework which, given some ingredients and other requests entered by the user as input, researches the most appropriate recipe. Two categories of people are addressed in the program: those who want to discover new recipes, and those who want to create a recipe with the few ingredients left in the fridge to reduce food waste. The user must formulate his request in both cases by inserting the desired ingredients and other specific requests as a meal type or method of cooking.
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Notes
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Nltk Library: https://www.nltk.org/ - https://pypi.org/project/nltk/.
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Sklearn Library: https://scikit-learn.org/ - https://pypi.org/project/sklearn/.
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Acknowledgement
This paper has been produced with the financial support of the Project financed by Campania Region of Italy ‘REMIAM - Rete Musei intelligenti ad avanzata Multimedialità’. CUP B63D18000360007.
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Amato, A., Cozzolino, G. (2021). C’Meal! the ChatBot for Food Information. In: Barolli, L., Li, K., Miwa, H. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2020. Advances in Intelligent Systems and Computing, vol 1263. Springer, Cham. https://doi.org/10.1007/978-3-030-57796-4_23
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DOI: https://doi.org/10.1007/978-3-030-57796-4_23
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