A RFID Supported Personalized Travel and Recommendation System

碩士 === 國立屏東科技大學 === 資訊管理系所 === 99 ===   The tourist can use guidebooks, GPS or QR code, facility in tourist areas, tour guide…etc, to understand characteristics of tourist attractions. However, these methods encounter some difficulties. First, you can’t make sure where you are on the map. Second, th...

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Bibliographic Details
Main Authors: Chun-Hao Chen, 陳俊豪
Other Authors: Yuh-Jiuan Tsay
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/67776786199311006365
Description
Summary:碩士 === 國立屏東科技大學 === 資訊管理系所 === 99 ===   The tourist can use guidebooks, GPS or QR code, facility in tourist areas, tour guide…etc, to understand characteristics of tourist attractions. However, these methods encounter some difficulties. First, you can’t make sure where you are on the map. Second, the billboard suffered damage which can’t provide full information to people. Third, the blind spots of GPS technology are the small area can’t locate precisely and will be affected by the weather. Fourth, it can’t provide customized tour guide for each individual visitors.   In this study, we use RFID technology to build a RFID supported personalized travel and recommendation system on tour navigation. It provides users four modules. (1) PDA Navigation System Platform Module-This module uses PDA with RFID reader to provide personal attractions recommendation. According to the RFID tag we installed, we can obtain relevant information about the attractions. (2) Tourism curriculum vitae Module-This module provides user to upload their travel records, and they can query these data from the website. (3) RFID Tag ID Positioning Module-This module uses tag ID to correspond to spots we provided, and write to the database for users to download. (4) Data Statistical Module-According to the records that tourists upload. It can be the rule for the recommendation of personal tour spots, and the reference for the tourist area manager to make decisions. The system is actually simulated and test in the campus of National Pingtung University of Science and Technology. It can provide information to guide, personalized recommendations attractions, reference and promote for the tourist areas.