A mobile personalized travel recommendation system based on ontology ― take culture and history thematic travels as an example

碩士 === 國立彰化師範大學 === 資訊管理學系所 === 102 === With the advent of more advanced handheld devices and wireless networks, a wide variety of tourism recommendation applications are emerging. However, with fixed itinerary or sophisticated recommendation algorithms as the starting point of the study, users m...

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Main Authors: Wang Ni-Ya, 王怩雅
Other Authors: Wang Chain
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/yentaz
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spelling ndltd-TW-102NCUE53960462019-05-15T21:50:58Z http://ndltd.ncl.edu.tw/handle/yentaz A mobile personalized travel recommendation system based on ontology ― take culture and history thematic travels as an example 基於本體論之行動個人化推薦系統― 以文史脈流主題式旅遊導覽為例 Wang Ni-Ya 王怩雅 碩士 國立彰化師範大學 資訊管理學系所 102 With the advent of more advanced handheld devices and wireless networks, a wide variety of tourism recommendation applications are emerging. However, with fixed itinerary or sophisticated recommendation algorithms as the starting point of the study, users may not have a deeper understating of the sites and the local culture. With the passage of time, scenes might have changed. From the perspective of time, heritage may have different stories with the passage of time. From the perspective of space, the heritage in different spaces may have correlation to one another. Therefore, based on culture and history thematic, the study put more emphasis on depth and breadth of the recommendation content. The definition of thematic traveling and user situation through Ontology, the study uses Ontology Matching to demonstrate personalized cultural and historic thematic traveling. According to the research results,demonstrating cultural and historic thematic traveling with the design of thematic stories, the local cultures can be better understood. In addition, the research results serve the purpose of the study. Wang Chain 王謙 2014 學位論文 ; thesis 80 zh-TW
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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 === 102 === With the advent of more advanced handheld devices and wireless networks, a wide variety of tourism recommendation applications are emerging. However, with fixed itinerary or sophisticated recommendation algorithms as the starting point of the study, users may not have a deeper understating of the sites and the local culture. With the passage of time, scenes might have changed. From the perspective of time, heritage may have different stories with the passage of time. From the perspective of space, the heritage in different spaces may have correlation to one another. Therefore, based on culture and history thematic, the study put more emphasis on depth and breadth of the recommendation content. The definition of thematic traveling and user situation through Ontology, the study uses Ontology Matching to demonstrate personalized cultural and historic thematic traveling. According to the research results,demonstrating cultural and historic thematic traveling with the design of thematic stories, the local cultures can be better understood. In addition, the research results serve the purpose of the study.
author2 Wang Chain
author_facet Wang Chain
Wang Ni-Ya
王怩雅
author Wang Ni-Ya
王怩雅
spellingShingle Wang Ni-Ya
王怩雅
A mobile personalized travel recommendation system based on ontology ― take culture and history thematic travels as an example
author_sort Wang Ni-Ya
title A mobile personalized travel recommendation system based on ontology ― take culture and history thematic travels as an example
title_short A mobile personalized travel recommendation system based on ontology ― take culture and history thematic travels as an example
title_full A mobile personalized travel recommendation system based on ontology ― take culture and history thematic travels as an example
title_fullStr A mobile personalized travel recommendation system based on ontology ― take culture and history thematic travels as an example
title_full_unstemmed A mobile personalized travel recommendation system based on ontology ― take culture and history thematic travels as an example
title_sort mobile personalized travel recommendation system based on ontology ― take culture and history thematic travels as an example
publishDate 2014
url http://ndltd.ncl.edu.tw/handle/yentaz
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