2020
DOI: 10.3390/s20123597
|View full text |Cite
|
Sign up to set email alerts
|

Recommendation of Workplaces in a Coworking Building: A Cyber-Physical Approach Supported by a Context-Aware Multi-Agent System

Abstract: Recommender systems are able to suggest the most suitable items to a given user, taking into account the user’s and item`s data. Currently, these systems are offered almost everywhere in the online world, such as in e-commerce websites, newsletters, or video platforms. To improve recommendations, the user’s context should be considered to provide more accurate algorithms able to achieve higher payoffs. In this paper, we propose a pre-filtering recommendation system that considers the context of a coworking bui… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
6
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
7
3

Relationship

1
9

Authors

Journals

citations
Cited by 13 publications
(6 citation statements)
references
References 29 publications
0
6
0
Order By: Relevance
“…Zhang et al [139] developed an automatic humidity control system for heritages sites via computational fluid dynamics simulation and Bonci et al [140] developed a BIM-based CPS platform to evaluate and optimise building performance. For building occupancy monitoring, Gomes et al [141] proposed a context-aware recommendation system for co-working environments, whereas Seghezzi et al [142] presented an occupancy-oriented building management system to optimise cleaning operations. For smart city development, Schrotter, Hürzeler [143], White et al [144], Cho and Kim [145], and Wu et al [146] developed DT cities to enhance transparency, transport efficiency, and urban planning.…”
Section: Milieumentioning
confidence: 99%
“…Zhang et al [139] developed an automatic humidity control system for heritages sites via computational fluid dynamics simulation and Bonci et al [140] developed a BIM-based CPS platform to evaluate and optimise building performance. For building occupancy monitoring, Gomes et al [141] proposed a context-aware recommendation system for co-working environments, whereas Seghezzi et al [142] presented an occupancy-oriented building management system to optimise cleaning operations. For smart city development, Schrotter, Hürzeler [143], White et al [144], Cho and Kim [145], and Wu et al [146] developed DT cities to enhance transparency, transport efficiency, and urban planning.…”
Section: Milieumentioning
confidence: 99%
“…When considering agent-based IoT architectures, some solutions provide services, communications, and configurations for dedicated applications and domains such as shopping malls [ 20 ], cattle [ 22 ], co-working buildings [ 23 ], and a manufacturing scenario in an industrial environment [ 24 ]. In addition, agent-oriented programming languages such as Jade [ 25 ] and Jason [ 10 ] play a major role in several solutions [ 26 , 27 , 28 ].…”
Section: Related Work and Motivations Of This Workmentioning
confidence: 99%
“…Moreover, reinforcement learning has been largely applied to power and energy systems problems [3], providing learning of decisions in complex modeling environments. The authors of the present paper have also used reinforcement learning in buildings environments, despite not for consumption forecasting, in [4].…”
Section: Introductionmentioning
confidence: 99%