Adaptive user interface design: a case study of web recommendation system

Personalization is another special form of adaptation where it widely implements in the development of recommendation system that gives adaptive web environment for users. The main concept of recommendation system is to obtain user behavior factor from user interest or search history and predict the...

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Main Authors: Wan Husain, Wan Nur Liyana, Jantan, Azrul Hazri
Format: Article
Language:English
Published: Faculty of Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka 2017
Online Access:http://psasir.upm.edu.my/id/eprint/64600/
http://psasir.upm.edu.my/id/eprint/64600/1/Adaptive%20user%20interface%20design%20a%20case%20study%20of%20web%20recommendation%20system.pdf
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author Wan Husain, Wan Nur Liyana
Jantan, Azrul Hazri
author_facet Wan Husain, Wan Nur Liyana
Jantan, Azrul Hazri
author_sort Wan Husain, Wan Nur Liyana
building UPM Institutional Repository
collection Online Access
description Personalization is another special form of adaptation where it widely implements in the development of recommendation system that gives adaptive web environment for users. The main concept of recommendation system is to obtain user behavior factor from user interest or search history and predict the next request as they visit web pages. There are some issues arise in recommender systems which they need a lot of data to efficiently build recommendations. Large amount of items and user data are best for getting good recommendations. In practice, however many challenges exist and evaluation results of recommendation systems has been mixed. This paper presents the case study of Netflix and other case studies in the development of recommendation system and analyzes some of the problems and challenges in implementing recommender systems.
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spelling upm-646002018-08-13T03:10:41Z http://psasir.upm.edu.my/id/eprint/64600/ Adaptive user interface design: a case study of web recommendation system Wan Husain, Wan Nur Liyana Jantan, Azrul Hazri Personalization is another special form of adaptation where it widely implements in the development of recommendation system that gives adaptive web environment for users. The main concept of recommendation system is to obtain user behavior factor from user interest or search history and predict the next request as they visit web pages. There are some issues arise in recommender systems which they need a lot of data to efficiently build recommendations. Large amount of items and user data are best for getting good recommendations. In practice, however many challenges exist and evaluation results of recommendation systems has been mixed. This paper presents the case study of Netflix and other case studies in the development of recommendation system and analyzes some of the problems and challenges in implementing recommender systems. Faculty of Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka 2017 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/64600/1/Adaptive%20user%20interface%20design%20a%20case%20study%20of%20web%20recommendation%20system.pdf Wan Husain, Wan Nur Liyana and Jantan, Azrul Hazri (2017) Adaptive user interface design: a case study of web recommendation system. Journal of Telecommunication, Electronic and Computer Engineering, 9 (3-3). pp. 137-140. ISSN 2180-1843; ESSN: 2289-8131 http://journal.utem.edu.my/index.php/jtec/article/view/2890
spellingShingle Wan Husain, Wan Nur Liyana
Jantan, Azrul Hazri
Adaptive user interface design: a case study of web recommendation system
title Adaptive user interface design: a case study of web recommendation system
title_full Adaptive user interface design: a case study of web recommendation system
title_fullStr Adaptive user interface design: a case study of web recommendation system
title_full_unstemmed Adaptive user interface design: a case study of web recommendation system
title_short Adaptive user interface design: a case study of web recommendation system
title_sort adaptive user interface design: a case study of web recommendation system
url http://psasir.upm.edu.my/id/eprint/64600/
http://psasir.upm.edu.my/id/eprint/64600/
http://psasir.upm.edu.my/id/eprint/64600/1/Adaptive%20user%20interface%20design%20a%20case%20study%20of%20web%20recommendation%20system.pdf