High-level transportation framework for outdoor context-aware recommender

Alawadhi, Nayef and Alshaikhli, Imad Fakhri Taha and Alkandari, Abdulrahman (2021) High-level transportation framework for outdoor context-aware recommender. Journal of Engineering Science and Technology- JESTEC, 16 (4). pp. 15-31. ISSN 1823-4690

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Abstract

In smart transportation era, user journey is considered one of major aspect where researchers introduced different frameworks and systems to deliver level of optimization that satisfy drivers at outdoor environment. Context-aware recommendation is one of the techniques used to accomplish such an optimization for a trip by utilizing driver’s and location’s information. Many scenarios were covered in the previous studies, in particular, gas station scenario. In this paper, we highlight recent academia that focus on context-aware recommendation systems for the purpose of introducing an optimized high-level and conceptual context-aware recommender based on real-time feed specification, user feedback, dynamic profile insertion, dynamic radius search and deep neural network modules.

Item Type:	Article (Journal)
Uncontrolled Keywords:	Context-aware, Gas Station, Location information, Path planning, Recommender system, Real-time feed specification.
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Professor Imad Taha
Date Deposited:	17 Nov 2021 09:07
Last Modified:	17 Nov 2021 09:07
URI:	http://irep.iium.edu.my/id/eprint/93781

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