Eco-design based on collaborative filtering recommender system

Eco-design Collaborative Filtering Recommender System is an approach to assist designers in producing a green product. Collaborative Filtering (CF) approach is the most commonly used and most successful approaches for the systems of recommendation. In eco-design (Ecological Design), several studies...

Full description

Bibliographic Details
Main Authors:	Al-Bashiri, Hael, Awanis, Romli, Abdulgabber, Mansoor Abdullateef, Mohammad Adam Ibrahim, Fakhreldin, Mazlina, Abdul Majid
Format:	Article
Language:	English
Published:	American Scientific Publisher 2018
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/20682/ http://umpir.ump.edu.my/id/eprint/20682/ http://umpir.ump.edu.my/id/eprint/20682/ http://umpir.ump.edu.my/id/eprint/20682/1/64.%20Eco-design%20Based%20on%20Collaborative%20Filtering%20Recommender%20System1.pdf

id	ump-20682
recordtype	eprints
spelling	ump-206822019-10-18T02:32:01Z http://umpir.ump.edu.my/id/eprint/20682/ Eco-design based on collaborative filtering recommender system Al-Bashiri, Hael Awanis, Romli Abdulgabber, Mansoor Abdullateef Mohammad Adam Ibrahim, Fakhreldin Mazlina, Abdul Majid QA75 Electronic computers. Computer science Eco-design Collaborative Filtering Recommender System is an approach to assist designers in producing a green product. Collaborative Filtering (CF) approach is the most commonly used and most successful approaches for the systems of recommendation. In eco-design (Ecological Design), several studies focused on the implementation of eco strategies to reduce the products’ environmental impact. While the raw materials of the product are even more important in order to design a product to preserve the environment. Therefore, in this paper, the researcher employ the CF to develop a new eco-design method to provide a set of raw materials to assist the designers at early stage to preserve the environment. CF system is able to overcome the information overload issue by analyzing the past behavior of its users. It’s very simple and effective way to assist eco-designer to identify the best options from alternatives. CF system introduce a set of recommendations to the product designers through comparing the new product with the existing products in data base based on products’ information. Next, determine the most similar products and rank them based on its environmental impact. Then, the components of products which have low environment impact will be provided to the eco-designers as a recommendations. An assumed example of eco-design will be used to explanation the proposed method. Further research can be conducted on this proposed method by implementing it with real dataset to generalize its performance. American Scientific Publisher 2018 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/20682/1/64.%20Eco-design%20Based%20on%20Collaborative%20Filtering%20Recommender%20System1.pdf Al-Bashiri, Hael and Awanis, Romli and Abdulgabber, Mansoor Abdullateef and Mohammad Adam Ibrahim, Fakhreldin and Mazlina, Abdul Majid (2018) Eco-design based on collaborative filtering recommender system. Advanced Science Letters, 24 (10). pp. 7703-7706. ISSN 1936-6612 https://doi.org/10.1166/asl.2018.13003 doi: 10.1166/asl.2018.13003
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Al-Bashiri, Hael Awanis, Romli Abdulgabber, Mansoor Abdullateef Mohammad Adam Ibrahim, Fakhreldin Mazlina, Abdul Majid Eco-design based on collaborative filtering recommender system
description	Eco-design Collaborative Filtering Recommender System is an approach to assist designers in producing a green product. Collaborative Filtering (CF) approach is the most commonly used and most successful approaches for the systems of recommendation. In eco-design (Ecological Design), several studies focused on the implementation of eco strategies to reduce the products’ environmental impact. While the raw materials of the product are even more important in order to design a product to preserve the environment. Therefore, in this paper, the researcher employ the CF to develop a new eco-design method to provide a set of raw materials to assist the designers at early stage to preserve the environment. CF system is able to overcome the information overload issue by analyzing the past behavior of its users. It’s very simple and effective way to assist eco-designer to identify the best options from alternatives. CF system introduce a set of recommendations to the product designers through comparing the new product with the existing products in data base based on products’ information. Next, determine the most similar products and rank them based on its environmental impact. Then, the components of products which have low environment impact will be provided to the eco-designers as a recommendations. An assumed example of eco-design will be used to explanation the proposed method. Further research can be conducted on this proposed method by implementing it with real dataset to generalize its performance.
format	Article
author	Al-Bashiri, Hael Awanis, Romli Abdulgabber, Mansoor Abdullateef Mohammad Adam Ibrahim, Fakhreldin Mazlina, Abdul Majid
author_facet	Al-Bashiri, Hael Awanis, Romli Abdulgabber, Mansoor Abdullateef Mohammad Adam Ibrahim, Fakhreldin Mazlina, Abdul Majid
author_sort	Al-Bashiri, Hael
title	Eco-design based on collaborative filtering recommender system
title_short	Eco-design based on collaborative filtering recommender system
title_full	Eco-design based on collaborative filtering recommender system
title_fullStr	Eco-design based on collaborative filtering recommender system
title_full_unstemmed	Eco-design based on collaborative filtering recommender system
title_sort	eco-design based on collaborative filtering recommender system
publisher	American Scientific Publisher
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/20682/ http://umpir.ump.edu.my/id/eprint/20682/ http://umpir.ump.edu.my/id/eprint/20682/ http://umpir.ump.edu.my/id/eprint/20682/1/64.%20Eco-design%20Based%20on%20Collaborative%20Filtering%20Recommender%20System1.pdf
first_indexed	2023-09-18T22:29:58Z
last_indexed	2023-09-18T22:29:58Z
_version_	1777416219836547072

Eco-design based on collaborative filtering recommender system

Similar Items