loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Genildo Gomes ; Isabelle Rêgo ; Moises Gomes ; Júlia Conceição ; Artur Andrade ; Tayana Conte ; Thaís Castro and Bruno Gadelha

Affiliation: Institute of Computing, Federal University of Amazonas, Manaus, AM, Brazil

Keyword(s): Recommendation Systems, Interaction Technology, Events Planning.

Abstract: The use of technologies to promote interaction and engagement at events is part of modern entertainment. In the different types of events, there are different technologies to increase this interaction. In scientific events, for example, organizers use voting platforms with the public; in music festivals, LED bracelets and the flash light of the smartphone are used; while in cultural and sports events, there are digital cheer leading thermometers. Considering the search by experts in the field of events and entertainment for new technologies, in this study, a recommendation system is proposed that relates different classification aspects of events in order to suggest a list of appropriate technologies for that event, based on knowledge bases built by the experience of experts. The proposed solution was evaluated through acceptance studies using the technology acceptance model (TAM), and interviews with six experts with experience in the area of production and organization of various e vents. Results indicate that users intend to use the platform to assist in the definition of technologies due to its innovative factor, among other information discussed in this paper. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 44.220.44.148

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Gomes, G.; Rêgo, I.; Gomes, M.; Conceição, J.; Andrade, A.; Conte, T.; Castro, T. and Gadelha, B. (2021). It’s a Match! A Knowledge based Recommendation System for Matching Technology with Events. In Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-509-8; ISSN 2184-4992, SciTePress, pages 525-532. DOI: 10.5220/0010453605250532

@conference{iceis21,
author={Genildo Gomes. and Isabelle Rêgo. and Moises Gomes. and Júlia Concei\c{C}ão. and Artur Andrade. and Tayana Conte. and Thaís Castro. and Bruno Gadelha.},
title={It’s a Match! A Knowledge based Recommendation System for Matching Technology with Events},
booktitle={Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2021},
pages={525-532},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010453605250532},
isbn={978-989-758-509-8},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - It’s a Match! A Knowledge based Recommendation System for Matching Technology with Events
SN - 978-989-758-509-8
IS - 2184-4992
AU - Gomes, G.
AU - Rêgo, I.
AU - Gomes, M.
AU - Conceição, J.
AU - Andrade, A.
AU - Conte, T.
AU - Castro, T.
AU - Gadelha, B.
PY - 2021
SP - 525
EP - 532
DO - 10.5220/0010453605250532
PB - SciTePress