Using Exploration to Alleviate Closed-Loop Effects in Recommender Systems

Jadidinejad, A. H. , Macdonald, C. and Ounis, I. (2020) Using Exploration to Alleviate Closed-Loop Effects in Recommender Systems. In: 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), Xi'an, China, 25-30 Jul 2020, pp. 2025-2028. ISBN 9781450380164 (doi: 10.1145/3397271.3401230)

[img]
Preview
Text
215383.pdf - Accepted Version

880kB

Abstract

No abstract available.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Jadidinejad, Dr Amir and Macdonald, Professor Craig and Ounis, Professor Iadh
Authors: Jadidinejad, A. H., Macdonald, C., and Ounis, I.
College/School:College of Science and Engineering > School of Computing Science
ISBN:9781450380164
Published Online:25 July 2020
Copyright Holders:Copyright © 2020 Association for Computing Machinery
First Published:First published in SIGIR '20: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval: 2025-2028
Publisher Policy:Reproduced in accordance with the publisher copyright policy
Related URLs:

University Staff: Request a correction | Enlighten Editors: Update this record

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