A Conceptual User-Centric Multi-Context Hybrid Reasoning Information Retrieval Model

Authors

  • Samuel Ekene NNEBE Department of Computer Science, Ambrose Alli University, Ekpoma, Edo, Nigeria
  • Efeosasere Okoro Department of Computer Science, National Institute of Construction Technology and Management, Uromi, Nigeria
  • Fatai Idowu SADIQ Department of Computer Science, Ambrose Alli University, Ekpoma, Edo, Nigeria
  • Benjamin A. ABARA Department of Computer Science, National Institute of Construction Technology and Management, Uromi, Nigeria

Abstract

Information Retrieval has been in existence since the 1940s and is impossible to do without. However, current information retrieval systems are known to be ineffective. The reason that seems to encompass this ineffectiveness is design-focused. Designers and developers of Information Retrieval Systems are known to be system focused rather than user-focused. They provide the same information to users even when they are in different contexts and have diverse preferences. Using a restaurant use case, we propose a conceptual user-centric multi-context hybrid reasoning Information Retrieval model to improve the accuracy of retrieved results.

Published

2021-11-16

How to Cite

NNEBE, S. E., Okoro, E., SADIQ, F. I. ., & ABARA, B. A. (2021). A Conceptual User-Centric Multi-Context Hybrid Reasoning Information Retrieval Model. International Journal of Innovative Computing, 12(1). Retrieved from https://ijic.utm.my/index.php/ijic/article/view/337

Issue

Section

Computer Science