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Artificial empathy in marketing interactions: Bridging the human-AI gap in affective and social customer experience
Artificial intelligence (AI) continues to transform firm-customer interactions. However, current
AI marketing agents are often perceived as cold and uncaring and can be poor substitutes …
AI marketing agents are often perceived as cold and uncaring and can be poor substitutes …
Conversational recommender systems techniques, tools, acceptance, and adoption: a state of the art review
Conversational recommender systems (CRS) have become popular in recent years and
have gained the attention of researchers. More emphasis is given to user choices and …
have gained the attention of researchers. More emphasis is given to user choices and …
Trends in content-based recommendation: Preface to the special issue on Recommender systems based on rich item descriptions
Automated recommendations have become a pervasive feature of our online user
experience, and due to their practical importance, recommender systems also represent an …
experience, and due to their practical importance, recommender systems also represent an …
Virtual customer assistants in finance: From state of the art and practices to design guidelines
Abstract Virtual Customer Assistants (VCAs) are revolutionizing the way users interact with
machines. VCAs allow a far more natural interaction, and are gaining an increasingly large …
machines. VCAs allow a far more natural interaction, and are gaining an increasingly large …
AI-based mobile context-aware recommender systems from an information management perspective: Progress and directions
Abstract In the Artificial Intelligence (AI) field, and particularly within the area of Machine
Learning (ML), recommender systems have attracted significant research attention. These …
Learning (ML), recommender systems have attracted significant research attention. These …
Conversational Recommender Systems and natural language:: A study through the ConveRSE framework
Digital Assistants (DA) such as Amazon Alexa, Siri, or Google Assistant are now gaining
great diffusion, since they allow users to execute a wide range of actions through messages …
great diffusion, since they allow users to execute a wide range of actions through messages …
Argumentative explanations for interactive recommendations
A significant challenge for recommender systems (RSs), and in fact for AI systems in
general, is the systematic definition of explanations for outputs in such a way that both the …
general, is the systematic definition of explanations for outputs in such a way that both the …
The effects of controllability and explainability in a social recommender system
In recent years, researchers in the field of recommender systems have explored a range of
advanced interfaces to improve user interactions with recommender systems. Some of the …
advanced interfaces to improve user interactions with recommender systems. Some of the …
Transparency-check: An instrument for the study and design of transparency in ai-based personalization systems
As AI-based systems become commonplace in our daily lives, they need to provide
understandable information to their users about how they collect, process, and output …
understandable information to their users about how they collect, process, and output …
Generating post hoc review-based natural language justifications for recommender systems
In this article, we present a framework to build post hoc natural language justifications that
supports the suggestions generated by a recommendation algorithm. Our methodology is …
supports the suggestions generated by a recommendation algorithm. Our methodology is …