請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/57227
標題: | 協同過濾式推薦系統於特定文化背景之旅遊導覽 A collaborative filtering recommendation system for e-tourism from a specific cultural perspective |
作者: | Daniel Silva Navarro 辛丹尼 |
指導教授: | 許永真 |
關鍵字: | 推薦系統,旅遊導覽,旅遊, ?Recommender System,e-tourism,tourism, |
出版年 : | 2014 |
學位: | 碩士 |
摘要: | Traveling is a very important activity on human life; moreover, is a very profitable business all over the world. However, when people start planning their trips overseas, searching for information about places to visit, can be a very time consuming and misleading task. This research, aims to create the first module of a bigger e-tourism recommendation platform for Taiwan travelers. This initial module, will focus in Taipei pre-travel issues and it will recommends point of interest using a collaborative filtering approach.
To effectuate the recommendation, a modified version of slope one algorithm was utilized to predict the unavailable ratings on the dataset and mixed with the traditional CF prediction algorithm. This mixed algorithm showed a 10.19\% MAE improvement in comparison to the basic traditional collaborative filtering approach. To effectuate the experiments for this recommendation system, the dataset is composed by the most popular 86 points of interest in Taipei. These point of interest were reviewed by 27 foreigners living in Taiwan. |
URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/57227 |
全文授權: | 有償授權 |
顯示於系所單位: | 資訊工程學系 |
文件中的檔案:
檔案 | 大小 | 格式 | |
---|---|---|---|
ntu-103-1.pdf 目前未授權公開取用 | 4.45 MB | Adobe PDF |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。