High-level transportation framework for outdoor context-aware recommender
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 opt...
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Taylor's University
2021
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Online Access: | http://irep.iium.edu.my/93781/7/93781_High-level%20transportation%20framework%20for%20outdoor%20context-aware%20recommender.pdf http://irep.iium.edu.my/93781/ http://jestec.taylors.edu.my |
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my.iium.irep.937812021-11-17T01:07:09Z http://irep.iium.edu.my/93781/ High-level transportation framework for outdoor context-aware recommender Alawadhi, Nayef Alshaikhli, Imad Fakhri Taha Alkandari, Abdulrahman QA75 Electronic computers. Computer science 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. Taylor's University 2021-10-30 Article PeerReviewed application/pdf en http://irep.iium.edu.my/93781/7/93781_High-level%20transportation%20framework%20for%20outdoor%20context-aware%20recommender.pdf 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 http://jestec.taylors.edu.my |
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QA75 Electronic computers. Computer science Alawadhi, Nayef Alshaikhli, Imad Fakhri Taha Alkandari, Abdulrahman High-level transportation framework for outdoor context-aware recommender |
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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. |
format |
Article |
author |
Alawadhi, Nayef Alshaikhli, Imad Fakhri Taha Alkandari, Abdulrahman |
author_facet |
Alawadhi, Nayef Alshaikhli, Imad Fakhri Taha Alkandari, Abdulrahman |
author_sort |
Alawadhi, Nayef |
title |
High-level transportation framework for outdoor context-aware recommender |
title_short |
High-level transportation framework for outdoor context-aware recommender |
title_full |
High-level transportation framework for outdoor context-aware recommender |
title_fullStr |
High-level transportation framework for outdoor context-aware recommender |
title_full_unstemmed |
High-level transportation framework for outdoor context-aware recommender |
title_sort |
high-level transportation framework for outdoor context-aware recommender |
publisher |
Taylor's University |
publishDate |
2021 |
url |
http://irep.iium.edu.my/93781/7/93781_High-level%20transportation%20framework%20for%20outdoor%20context-aware%20recommender.pdf http://irep.iium.edu.my/93781/ http://jestec.taylors.edu.my |
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1717093035222761472 |
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13.211869 |