HerMeS - HERitage sMart social mEdia aSsistant: from Requirement Elicitation to Data Modelling for Feeding Artificial Intelligence Recommendation System

Simple item page
dc.contributor.authorBucciero, Albertoen_US
dc.contributor.authorChirivì, Alessandraen_US
dc.contributor.authorJaziri, Mohamed Alien_US
dc.contributor.authorMuci, Ireneen_US
dc.contributor.authorOrlandini, Andreaen_US
dc.contributor.authorUmbrico, Alessandroen_US
dc.contributor.editorBucciero, Albertoen_US
dc.contributor.editorFanini, Brunoen_US
dc.contributor.editorGraf, Holgeren_US
dc.contributor.editorPescarin, Sofiaen_US
dc.contributor.editorRizvic, Selmaen_US
dc.date.accessioned2023-09-02T07:44:22Z
dc.date.available2023-09-02T07:44:22Z
dc.date.issued2023
dc.description.abstractIn the last years, several mobile APPs have been developed within the cultural tourism domain to give new impetus to this sector which is booming both in Italy and worldwide. In the wake of the increasing importance of technologies based on artificial intelligence, even mobile applications for the use of cultural tourism heritage are increasingly taking advantage of these techniques. Machine learning strategies are increasingly used to recommend points of interest and itineraries that are compatible with the user's preferences, requirements and constraints. The quality and integrity of the data acquired become the starting point for training and implementing AI models. By levering well-structured data, these algorithms can offer valuable insights, personalised recommendations, and enhanced user interaction in the cultural tourism domain. The HerMeS APP that we present in this paper was designed starting from these premises. The application aims to provide a wide range of artificial intelligence-based features to enhance the enjoyment and exploration of cultural heritage, both tangible and intangible.en_US
dc.description.sectionheadersAI and 3D Reconstruction I
dc.description.seriesinformationEurographics Workshop on Graphics and Cultural Heritage
dc.identifier.doi10.2312/gch.20231151
dc.identifier.isbn978-3-03868-217-2
dc.identifier.issn2312-6124
dc.identifier.pages1-9
dc.identifier.pages9 pages
dc.identifier.urihttps://doi.org/10.2312/gch.20231151
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/gch20231151
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Applied computing → Arts and humanities; Digital libraries and archives; Computing methodologies → Artificial intelligence; Human-centered computing → Interactive systems and tools
dc.subjectApplied computing → Arts and humanities
dc.subjectDigital libraries and archives
dc.subjectComputing methodologies → Artificial intelligence
dc.subjectHuman
dc.subjectcentered computing → Interactive systems and tools
dc.titleHerMeS - HERitage sMart social mEdia aSsistant: from Requirement Elicitation to Data Modelling for Feeding Artificial Intelligence Recommendation Systemen_US
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
001-009.pdf
Size:
1.22 MB
Format:
Adobe Portable Document Format
Download
Collections
GCH 2023 - Eurographics Workshop on Graphics and Cultural Heritage