Cultural heritages; Cyber physical social systems; Cyber physicals; Multiple dimensions; Personalisation; Position papers; Research trends; Social systems; Computer Networks and Communications; Hardware and Architecture; Media Technology
Abstract :
[en] Providing recommendations to users evolving in physical spaces has been a research trend since a few years now, especially with the rise of recommending engines dedicated to cultural heritage spaces like museums or tourism. The evolution of our civilisation towards more and more pervasiveness of technology in our environment leads to define the spaces in which human-being evolve as Cyber-Physical-Social Systems (CPSS), in which humans cohabit with sensors, actuators, IT devices or robots, all of these entities interacting together. In this position paper, we formalised the recommendation problem in physical spaces from the general perspective of CPSS, introducing its multiple dimensions.
Disciplines :
Computer science
Author, co-author :
Naudet, Yannick; Luxembourg Institute of Science and Technology (LIST), Luxembourg
YILMA, Bereket Abera ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) ; Luxembourg Institute of Science and Technology (LIST), Luxembourg ; Université de Lorraine, CNRS, CRAN, France
Panetto, Hervé; Université de Lorraine, CNRS, CRAN, France
External co-authors :
yes
Language :
English
Title :
Personalisation in Cyber Physical and Social Systems: The Case of Recommendations in Cultural Heritage Spaces
Publication date :
19 October 2018
Event name :
2018 13th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)
Event place :
Zaragoza, Esp
Event date :
06-09-2018 => 07-09-2018
By request :
Yes
Audience :
International
Main work title :
Proceedings - 13th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2018
Editor :
Ilarri, Sergio
Publisher :
Institute of Electrical and Electronics Engineers Inc.
This work has been partially funded by the European Union’s Horizon 2020 research and innovation pro- gramme under grant agreement No 693150, CrossCult project (www.crosscult.eu).
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