Virtual customer assistants in finance: From state of the art and practices to design guidelines

A Iovine, F Narducci, C Musto, M de Gemmis… - Computer Science …, 2023 - Elsevier
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 …

SD-IIDS: intelligent intrusion detection system for software-defined networks

NS Shaji, R Muthalagu, PM Pawar - Multimedia Tools and Applications, 2024 - Springer
Abstract Software-Defined Networking (SDN) is susceptible to security threats despite all the
network programmability and flexibility offered, and hence SDN must be safeguarded. This …

Exploring the effects of natural language justifications in food recommender systems

C Musto, AD Starke, C Trattner, A Rapp… - Proceedings of the 29th …, 2021 - dl.acm.org
Users of food recommender systems typically prefer popular recipes, which tend to be
unhealthy. To encourage users to select healthier recommendations by making more …

HELENA: An intelligent digital assistant based on a Lifelong Health User Model

M Polignano, P Lops, M de Gemmis… - Information Processing & …, 2023 - Elsevier
Digital Assistants are overgrowing in the mobile application industry and are now
implemented in various commercial devices. So far, their use in the health domain is limited …

MyrrorBot: A Digital Assistant Based on Holistic User Models for Personalized Access to Online Services

C Musto, F Narducci, M Polignano… - ACM Transactions on …, 2021 - dl.acm.org
In this article, we present MyrrorBot, a personal digital assistant implementing a natural
language interface that allows the users to:(i) access online services, such as music, video …

User Modeling and User Profiling: A Comprehensive Survey

E Purificato, L Boratto, EW De Luca - arXiv preprint arXiv:2402.09660, 2024 - arxiv.org
The integration of artificial intelligence (AI) into daily life, particularly through information
retrieval and recommender systems, has necessitated advanced user modeling and …

Generating recommendations from multiple data sources: A methodological framework for system design and its application

F Cena, A Rapp, C Musto, G Semeraro - IEEE Access, 2020 - ieeexplore.ieee.org
Recommender systems (RSs) are systems that produce individualized recommendations as
output or drive the user in a personalized way to interesting or useful objects in a space of …

Validation of the EDUSS Framework for Self-Actualization Based on Transparent User Models: A Qualitative Study

M Guesmi, C Siepmann, MA Chatti, S Joarder… - Adjunct Proceedings of …, 2023 - dl.acm.org
Self-actualization is the process of striving toward full potential and achieving higher goals in
one's life. Originally studied in psychology, this concept has been adopted by various …

Lexicon enriched hybrid hate speech detection with human-centered explanations

M Polignano, G Colavito, C Musto… - Adjunct Proceedings of …, 2022 - dl.acm.org
The phenomenon of hate messages on the web is unfortunately in continuous expansion
and evolution. Even if the big companies that offer their users a social network service have …

“Tell Me Why”: using natural language justifications in a recipe recommender system to support healthier food choices

AD Starke, C Musto, A Rapp, G Semeraro… - User Modeling and User …, 2024 - Springer
Users of online recipe websites tend to prefer unhealthy foods. Their popularity undermines
the healthiness of traditional food recommender systems, as many users lack nutritional …