Conversational Recommender Systems are becoming a common e-commerce tool. They provide items according to customers’ needs in the form of a dialogue based advice-giving interaction. Moreover, according to Computers As Social Actors paradigm users react to machines the same way they do to other humans. Hence it is important to understand not only the algorithm but also the effective way of communication with customers through machines that results in positive judgments and behavioural intentions such as advice adherence.
Recommender System Chatbot: The effect of Communication Style on Advice Adherence / Novin Hashemi, Gabriele Pizzi, Virginia Vannucci, Chiara Orsingher. - ELETTRONICO. - (2022), pp. 1-6. (Intervento presentato al convegno NEXT GENERATION MARKETING. People, Planet, Place: cooperation & shared value for a new era of critical marketing tenutosi a Salerno nel 20-21 Ottobre 2022).
Recommender System Chatbot: The effect of Communication Style on Advice Adherence
Novin Hashemi
;Gabriele Pizzi;Virginia Vannucci;Chiara Orsingher
2022
Abstract
Conversational Recommender Systems are becoming a common e-commerce tool. They provide items according to customers’ needs in the form of a dialogue based advice-giving interaction. Moreover, according to Computers As Social Actors paradigm users react to machines the same way they do to other humans. Hence it is important to understand not only the algorithm but also the effective way of communication with customers through machines that results in positive judgments and behavioural intentions such as advice adherence.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
