Please use this identifier to cite or link to this item:
Title: Applying reinforcement learning in context limited environments
Author: Ferreira, Diogo
Antunes, Mário
Gomes, Diogo
Aguiar, Rui L.
Keywords: Pervasive systems
Context awareness
Reinforcement learning
Issue Date: Sep-2020
Publisher: IEEE
Abstract: Reinforcement Learning has seen some interesting development over the last years, which made it very attractive to use on recommendation scenarios. In this work, we have extended the previously developed pervasive system, which is aware of the conversational context to suggest documents potentially useful to the users, with the ability to use users’ click data as a way to perform better suggestions over time, through a Reinforcement Learning approach. Furthermore, to assure the real significance of these types of approaches in conversational environments, we also conducted a case study regarding the accuracy of feedback on context limited conversational systems.
Peer review: yes
DOI: 10.1109/ICHMS49158.2020.9209526
ISBN: 978-1-7281-5872-3
Appears in Collections:DETI - Comunicações
IT - Comunicações

Files in This Item:
File Description SizeFormat 
classy_rl___ICHMS.pdf1.16 MBAdobe PDFrestrictedAccess

Formato BibTex MendeleyEndnote Degois 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.