Computational Model of Recommender System Intervention

Ojeniyi, Adegoke and Ajibade, Samuel-Soma M. and Obafunmiso, Christiana Kehinde and ADEGBITE-BADMUS, TAWAKALIT. A. (2022) Computational Model of Recommender System Intervention. Hindawi Applied Computational Intelligence and So Computing, 1. pp. 1-13. ISSN 3794551

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Abstract

A recommender system is an information selection system that o-ers preferences to users and enhances their decision-making. (is system is commonly implemented in human-computer-interaction (HCI) intervention because of its information 3ltering and personalization. However, its success rate in decision-making intervention is considered low and the rationale for this is associated with users’ psychological reactance which is causing unsuccessful recommender system interventions. (is paper employs a computational model to depict factors that lead to recommender system rejection by users and how these factors can be enhanced to achieve successful recommender system interventions. (e study made use of design science research methodology by executing a computational analysis based on an agent-based simulation approach for the model development and implementation. A total of sixteen model concepts were identi3ed and formalized which were implemented in a Matlab environment using three major case conditions as suggested in previous studies. (e result of the study provides an explicit comprehension on interplaying of recommender system that generate psychological reactance which is of great importance to recommender system developers and designers to depict how successful recommender system interventions can be achieved without users experiencing reactance and rejection on the system.

Item Type: Article
Subjects: Z Bibliography. Library Science. Information Resources > Z004 Books. Writing. Paleography
Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Z Bibliography. Library Science. Information Resources > Z719 Libraries (General)
Divisions: Faculty of Law, Arts and Social Sciences > School of Social Sciences
Depositing User: Mr Taiwo Egbeyemi
Date Deposited: 03 Apr 2023 12:17
Last Modified: 03 Apr 2023 12:17
URI: http://eprints.federalpolyilaro.edu.ng/id/eprint/2238

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