Collaborative-based web recommender system for community-driven homestay programmes

A Homestay Programme (HP) is a kind of tourism initiative where local residents welcome tourists to stay and interact with them and experience the community’s daily activities and culture, including an option for lodging. The effects of HPs on the community are reflected in the development of the ec...

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Main Author:	Miraz, Mahadi Hasan
Format:	Thesis
Language:	eng eng aa
Published:	2017
Subjects:	TK5015.888 Web sites
Online Access:	https://etd.uum.edu.my/8357/1/s816976_01.pdf https://etd.uum.edu.my/8357/2/s816976_02.pdf https://etd.uum.edu.my/8357/3/s816976_references.docx
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id	my-uum-etd.8357
record_format	uketd_dc
spelling	my-uum-etd.83572021-08-18T03:45:31Z Collaborative-based web recommender system for community-driven homestay programmes 2017 Miraz, Mahadi Hasan Ramli, Razamin Ku Muhammad, Ku Ruhana Awang Had Salleh Graduate School of Arts & Sciences Awang Had Salleh Graduate School of Arts & Sciences TK5015.888 Web sites A Homestay Programme (HP) is a kind of tourism initiative where local residents welcome tourists to stay and interact with them and experience the community’s daily activities and culture, including an option for lodging. The effects of HPs on the community are reflected in the development of the economy, social capital, infrastructure and environment. Hence, a HP promotes community-based tourism (CBT) and acts as a catalyst for rural community development. Most HPs are located in the rural areas, and thus, are directly linked to showcasing the various Malaysian cultures. Although homestay tourism is a growing industry in developing countries, there are some challenges faced in operating the Malaysian HPs since this CBT does not seem to be flourishing in a similar manner as the other tourism initiatives. All of these challenges have led to the main cause that is, lack of promotion and marketing due to the inability of homestay operators to utilize technology. Therefore, to overcome this, an enhanced Collaborative-Based Web Recommender (CBWR) system that meets certain criteria for an effective and efficient homestay service delivery is developed based on the user and item approach. This CBWR system acts as a database network that serves as an intermediary between users (visitors) and the service providers, who are the HP operator. Furthermore, this CBWR can also create a partnership between the homestay database and the homestay recommender website by capturing the users’ details and storing it, which is done by the profiler. Consequently, the profiler recommends several websites that suit to the user’s request. All these operations are carried out simultaneously to boost the functions of the CBWR system. Hence, this research contributes to the development of a specific unique web database and a CBWR system, which is adopted from collaborative algorithm. In addition, the CBWR system provides a supportive recommender algorithm which is carried out in a web enabling environment in real time. This enables users to find the available personalized website and unique HPs with their signature products and services. 2017 Thesis https://etd.uum.edu.my/8357/ https://etd.uum.edu.my/8357/1/s816976_01.pdf text eng public https://etd.uum.edu.my/8357/2/s816976_02.pdf text eng public https://etd.uum.edu.my/8357/3/s816976_references.docx text aa public other masters Universiti Utara Malaysia
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng aa
advisor	Ramli, Razamin Ku Muhammad, Ku Ruhana
topic	TK5015.888 Web sites
spellingShingle	TK5015.888 Web sites Miraz, Mahadi Hasan Collaborative-based web recommender system for community-driven homestay programmes
description	A Homestay Programme (HP) is a kind of tourism initiative where local residents welcome tourists to stay and interact with them and experience the community’s daily activities and culture, including an option for lodging. The effects of HPs on the community are reflected in the development of the economy, social capital, infrastructure and environment. Hence, a HP promotes community-based tourism (CBT) and acts as a catalyst for rural community development. Most HPs are located in the rural areas, and thus, are directly linked to showcasing the various Malaysian cultures. Although homestay tourism is a growing industry in developing countries, there are some challenges faced in operating the Malaysian HPs since this CBT does not seem to be flourishing in a similar manner as the other tourism initiatives. All of these challenges have led to the main cause that is, lack of promotion and marketing due to the inability of homestay operators to utilize technology. Therefore, to overcome this, an enhanced Collaborative-Based Web Recommender (CBWR) system that meets certain criteria for an effective and efficient homestay service delivery is developed based on the user and item approach. This CBWR system acts as a database network that serves as an intermediary between users (visitors) and the service providers, who are the HP operator. Furthermore, this CBWR can also create a partnership between the homestay database and the homestay recommender website by capturing the users’ details and storing it, which is done by the profiler. Consequently, the profiler recommends several websites that suit to the user’s request. All these operations are carried out simultaneously to boost the functions of the CBWR system. Hence, this research contributes to the development of a specific unique web database and a CBWR system, which is adopted from collaborative algorithm. In addition, the CBWR system provides a supportive recommender algorithm which is carried out in a web enabling environment in real time. This enables users to find the available personalized website and unique HPs with their signature products and services.
format	Thesis
qualification_name	other
qualification_level	Master's degree
author	Miraz, Mahadi Hasan
author_facet	Miraz, Mahadi Hasan
author_sort	Miraz, Mahadi Hasan
title	Collaborative-based web recommender system for community-driven homestay programmes
title_short	Collaborative-based web recommender system for community-driven homestay programmes
title_full	Collaborative-based web recommender system for community-driven homestay programmes
title_fullStr	Collaborative-based web recommender system for community-driven homestay programmes
title_full_unstemmed	Collaborative-based web recommender system for community-driven homestay programmes
title_sort	collaborative-based web recommender system for community-driven homestay programmes
granting_institution	Universiti Utara Malaysia
granting_department	Awang Had Salleh Graduate School of Arts & Sciences
publishDate	2017
url	https://etd.uum.edu.my/8357/1/s816976_01.pdf https://etd.uum.edu.my/8357/2/s816976_02.pdf https://etd.uum.edu.my/8357/3/s816976_references.docx
_version_	1747828378484867072

Collaborative-based web recommender system for community-driven homestay programmes

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