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

辛丹尼(Daniel Silva Navarro)

指導教授 ： 許永真

共同指導教授 ： 紀婉容 ； 蔡宗翰 ； 林光龍

國立臺灣大學/電機資訊學院/資訊工程學研究所/碩士(2014年)

https://doi.org/10.6342/NTU.2014.02905

摘要

無資料

關鍵字

推薦系統 ； 旅遊導覽 ； 旅遊

並列摘要

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.

並列關鍵字

Recommender System ； e-tourism ； tourism

參考文獻

and information systems, 69(Supplement 32):175–186, 2000.

[5] R. Burke. Hybrid recommender systems: survey and experiments., 2002.

[8] D and Buhalis. eTourism: Information Technology for strategic tourism manage-

ment,. Prentice Hall, 2003.

[10] M. J. Eppler and J. Mengis. The concept of information overload: A review of literature from organization science,accounting,marketing,mis,andrelateddisciplines. The information society, 20(5):325–344, 2004.