Partially Observable Reinforcement Learning for Dialog-based Interactive Recommendation

Wu, Y., Macdonald, C. and Ounis, I. (2021) Partially Observable Reinforcement Learning for Dialog-based Interactive Recommendation. In: 15th ACM Conference on Recommender Systems (RecSys21), Amsterdam, The Netherlands, 27 Sep - 01 Oct 2021, (Accepted for Publication)

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Abstract

No abstract available.

Item Type:Conference Proceedings
Additional Information:The authors acknowledge support from EPSRC grant EP/R018634/1 entitled Closed-Loop Data Science for Complex, Computationallyand Data-Intensive Analytics.
Status:Accepted for Publication
Refereed:Yes
Glasgow Author(s) Enlighten ID:Wu, Mr Yaxiong and Ounis, Professor Iadh and Macdonald, Dr Craig
Authors: Wu, Y., Macdonald, C., and Ounis, I.
College/School:College of Science and Engineering > School of Computing Science
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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
300982Exploiting Closed-Loop Aspects in Computationally and Data Intensive AnalyticsRoderick Murray-SmithEngineering and Physical Sciences Research Council (EPSRC)EP/R018634/1Computing Science