A Model for the Evaluation of Mobile Tourism Recommender System
碩士 === 國立彰化師範大學 === 資訊管理學系所 === 101 === Mobile recommender systems have been recognized as valuable tools for supporting travel information searching and decision making. Mobile travel recommender systems have been a hot topic and attracted much attention in both research and practice in recent year...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2013
|
Online Access: | http://ndltd.ncl.edu.tw/handle/83647951819145350735 |
id |
ndltd-TW-101NCUE5396046 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-101NCUE53960462016-03-16T04:15:03Z http://ndltd.ncl.edu.tw/handle/83647951819145350735 A Model for the Evaluation of Mobile Tourism Recommender System 行動旅遊推薦系統評估模型之研究 Hui-Ling Chien 錢惠玲 碩士 國立彰化師範大學 資訊管理學系所 101 Mobile recommender systems have been recognized as valuable tools for supporting travel information searching and decision making. Mobile travel recommender systems have been a hot topic and attracted much attention in both research and practice in recent years. In this research, we therefore propose a model to evaluate travel recommender systems that execute on personal mobile devices to provide on-tour recommendations of tourist attractions. We also developed measurement scales for the dimensions of the proposed model in this research. A user study is then conducted in Lukang town. The results reveal that, comparing with mass recommendation, personal recommendation provides users useful information and thus users have higher satisfaction level. Also, information quality and system quality are both positively related to user satisfaction. User involvement and motivation also have significant influences on user satisfaction. Wan-Shiou Yang 楊婉秀 2013 學位論文 ; thesis 54 zh-TW |
collection |
NDLTD |
language |
zh-TW |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 國立彰化師範大學 === 資訊管理學系所 === 101 === Mobile recommender systems have been recognized as valuable tools for supporting travel information searching and decision making. Mobile travel recommender systems have been a hot topic and attracted much attention in both research and practice in recent years. In this research, we therefore propose a model to evaluate travel recommender systems that execute on personal mobile devices to provide on-tour recommendations of tourist attractions. We also developed measurement scales for the dimensions of the proposed model in this research. A user study is then conducted in Lukang town. The results reveal that, comparing with mass recommendation, personal recommendation provides users useful information and thus users have higher satisfaction level. Also, information quality and system quality are both positively related to user satisfaction. User involvement and motivation also have significant influences on user satisfaction.
|
author2 |
Wan-Shiou Yang |
author_facet |
Wan-Shiou Yang Hui-Ling Chien 錢惠玲 |
author |
Hui-Ling Chien 錢惠玲 |
spellingShingle |
Hui-Ling Chien 錢惠玲 A Model for the Evaluation of Mobile Tourism Recommender System |
author_sort |
Hui-Ling Chien |
title |
A Model for the Evaluation of Mobile Tourism Recommender System |
title_short |
A Model for the Evaluation of Mobile Tourism Recommender System |
title_full |
A Model for the Evaluation of Mobile Tourism Recommender System |
title_fullStr |
A Model for the Evaluation of Mobile Tourism Recommender System |
title_full_unstemmed |
A Model for the Evaluation of Mobile Tourism Recommender System |
title_sort |
model for the evaluation of mobile tourism recommender system |
publishDate |
2013 |
url |
http://ndltd.ncl.edu.tw/handle/83647951819145350735 |
work_keys_str_mv |
AT huilingchien amodelfortheevaluationofmobiletourismrecommendersystem AT qiánhuìlíng amodelfortheevaluationofmobiletourismrecommendersystem AT huilingchien xíngdònglǚyóutuījiànxìtǒngpínggūmóxíngzhīyánjiū AT qiánhuìlíng xíngdònglǚyóutuījiànxìtǒngpínggūmóxíngzhīyánjiū AT huilingchien modelfortheevaluationofmobiletourismrecommendersystem AT qiánhuìlíng modelfortheevaluationofmobiletourismrecommendersystem |
_version_ |
1718206071357571072 |