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Applying Reinforcement Learning in Context Limited Environments | IEEE Conference Publication | IEEE Xplore

Applying Reinforcement Learning in Context Limited Environments

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 ...View more

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.
Date of Conference: 07-09 September 2020
Date Added to IEEE Xplore: 30 September 2020
ISBN Information:
Publisher: IEEE
Conference Location: Rome, Italy

References

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