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.

Novin Hashemi, G.P. (2022). Recommender System Chatbot: The effect of Communication Style on Advice Adherence.

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.
2022
NEXT GENERATION MARKETING. People, Planet, Place: cooperation & shared value for a new era of critical marketing
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Novin Hashemi, G.P. (2022). Recommender System Chatbot: The effect of Communication Style on Advice Adherence.
Novin Hashemi, Gabriele Pizzi, Virginia Vannucci, Chiara Orsingher
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/907495
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