It’s a Match! A Knowledge based Recommendation System for Matching Technology with Events Genildo Gomes, Isabelle Rˆ ego, Moises Gomes, J ´ ulia Conceic ¸˜ ao, Artur Andrade, Tayana Conte, Tha´ ıs Castro and Bruno Gadelha Institute of Computing, Federal University of Amazonas, Manaus, AM, Brazil Keywords: 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 events. 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. 1 INTRODUCTION Events are unique experiential products that can pro- duce a set of sensations, emotions and engagement with participants (Ayob, 2011). The event industry constantly seeks to provide differentiated, interactive and innovative experiences in order to engage its spe- cific audience. Such events can be represented as in- dividual celebrations, such as a birthday party, to mu- sic festivals, conferences or large sports events. In these events, visitors have the opportunity to experi- ence unique moments, and this generates interest in new sensations, emotions, leisure and sociocultural experiences outside their daily routines (Jago, 1997; Getz et al., 1997). In general, events have several distinct aspects that reflect their own characteristics, such as the category of the event (Getz et al., 1997), the type of audience or how they manifest themselves (Mackellar, 2013). Recently, technologies that seek to take advantage of the qualities of these events in order to better or more fully engage or interact with the public have be- come popular. This can be observed at festivals or concerts of famous bands, events in which the inter- active use of lights is common, whether through LED bracelets (Burns, 2016) or smartphones (Vasconce- los et al., 2018). While in educational events, the use of audience response systems (ARS) is predom- inant (Nelimarkka et al., 2016). In the case of cultural events, Martins et al. (Martins et al., 2020) designed a competitive and collaborative application for the dis- pute between two groups of supporters. In this sense, in planned events there is always the intention to create and shape the individual and col- lective experiences of the public, in order to gener- ate greater involvement among the participants (Getz, 2007). However, event organizers do not have a specific technological strategy, which allows them to gather the qualities of different types of events, and recommend technologies to achieve the objectives or meet the demands of a given event, while aiming for greater interaction with their audience. Thus, the study presented in this paper aims to help event organizers to plan greater interaction with their audience through the recommendation of tech- nologies. For this, we used a database with thirty five technologies obtained from the literature and industry reports 1 . These technologies were classified based on their own characteristics combined with the charac- teristics of the events where they can be used (Gomes 1 https://doi.org/10.6084/m9.figshare.14050388.v2 Gomes, G., Rêgo, I., Gomes, M., Conceição, J., Andrade, A., Conte, T., Castro, T. and Gadelha, B. It’s a Match! A Knowledge based Recommendation System for Matching Technology with Events. DOI: 10.5220/0010453605250532 In Proceedings of the 23rd International Conference on Enterprise Information Systems (ICEIS 2021) - Volume 2, pages 525-532 ISBN: 978-989-758-509-8 Copyright c  2021 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved 525