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. © Springer Nature Switzerland AG 2021.
C’meal! the chatbot for food information / Amato, A.; Cozzolino, G.. - 1263 AISC:(2020), pp. 238-244. [10.1007/978-3-030-57796-4_23]
C’meal! the chatbot for food information
Cozzolino, G.
2020
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. © Springer Nature Switzerland AG 2021.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
