Zobrazeno 1 - 10
of 283
pro vyhledávání: '"Cataldo Musto"'
Autor:
Arthur T. E. Capozzi, Mirko Lai, Valerio Basile, Fabio Poletto, Manuela Sanguinetti, Cristina Bosco, Viviana Patti, Giancarlo Ruffo, Cataldo Musto, Marco Polignano, Giovanni Semeraro, Marco Stranisci
Publikováno v:
IJCoL, Vol 6, Iss 1, Pp 77-97 (2020)
The paper describes the Web platform built within the project “Contro l’Odio”, for monitoring and contrasting discrimination and hate speech against immigrants in Italy. It applies a combination of computational linguistics techniques for hate
Externí odkaz:
https://doaj.org/article/07f84d4cbabe4e3baa005a8d357db35d
Autor:
Marco Polignano, Fedelucio Narducci, Andrea Iovine, Cataldo Musto, Marco De Gemmis, Giovanni Semeraro
Publikováno v:
IEEE Access, Vol 8, Pp 107479-107497 (2020)
In this article, we present HealthAssistantBot, an intelligent virtual assistant able to talk with patients in order to understand their symptomatology, suggest doctors, and monitor treatments and health parameters. In a simple way, by exploiting a n
Externí odkaz:
https://doaj.org/article/725df0e5e4bc4718882cd25f6da8866c
Publikováno v:
IEEE Access, Vol 8, Pp 183430-183447 (2020)
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 possible options. Recently, RSs emerged as an effective support for dec
Externí odkaz:
https://doaj.org/article/f159005258334f44b78d487718d9793c
Autor:
Vito Walter Anelli, Pierpaolo Basile, Toine Bogers, Tommaso Di Noia, Francesco Maria Donini, Bamshad Mobasher, Cataldo Musto, Fedelucio Narducci, Casper Petersen, Maria Soledad Pera, Markus Zanker
Publikováno v:
ACM SIGIR Forum. 55:1-9
In this report, we offer a brief overview of the contributions and takeaways from the Joint KaRS & ComplexRec Workshop, co-located with the 15 th edition of the ACM RecSys in Amsterdam, The Netherlands. With this workshop, we aimed to merge the main
Autor:
Cataldo Musto, Alessandro Francesco Maria Martina, Andrea Iovine, Fedelucio Narducci, Marco de Gemmis, Giovanni Semeraro
Preference elicitation is a crucial step for every recommendation algorithm. Traditional interaction strategies for eliciting users’ interests and needs range from button-based interfaces, where users have to select what they like among a set of fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c393ec9d6e3202c0a3983a07ec6d720
https://doi.org/10.21203/rs.3.rs-2069784/v1
https://doi.org/10.21203/rs.3.rs-2069784/v1
Autor:
Vito Walter Anelli, Pierpaolo Basile, Gerard de Melo, Francesco Maria Donini, Antonio Ferrara, Cataldo Musto, Fedelucio Narducci, Azzurra Ragone, Markus Zanker
Publikováno v:
Sixteenth ACM Conference on Recommender Systems.
Publikováno v:
Sixteenth ACM Conference on Recommender Systems.
Autor:
Pasquale Lops, Cataldo Musto, Marco Polignano, Giovanni Semeraro, Marco de Gemmis, Fedelucio Narducci
Publikováno v:
ACM Transactions on Information Systems. 39:1-34
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, news, and food recommendation s, in a personalized way, by expl
Autor:
Alessandro Francesco Maria Martina, Cataldo Musto, Andrea Iovine, Marco de Gemmis, Fedelucio Narducci, Giovanni Semeraro
Publikováno v:
Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization.
Publikováno v:
Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization.