Development of Services of Private Cloud Computing with Virtualization Technology Applied on Travel Spot Recommendation System

• Main Authors: Shao-Hsiang Hung, 洪紹祥
• Other Authors: Shu-Chen Cheng
• Format: Others
• Language: zh-TW
• Online Access: http://ndltd.ncl.edu.tw/handle/68948828366433792294

碩士 === 南台科技大學 === 資訊工程系 === 99 === In recent years, more and more people focus on leisure travel. Thanks to the rapid development of internet, many people can share their travel experiences online. Before travel, people always will browse other people's travel experience on the Internet, and use these experiences to map out their own travel itineraries. However, in the pre-prepared plan will often gather to search a large number of unclassified data contains a lot of noise data, after Statistics and Analysis know whether they like this place. These actions will take a lot of time, greatly reduced interest. The purpose of this research will be the collection of information, statistics and analysis of automated actions to increase the efficiency of preparatory work before travel. We use information retrieval techniques to automatically categorize large amount of information with non-travel information and travel related information will not be removed. And according to travel information in the distribution of emotional keywords, this travel information classified as recommended and not recommended for two categories, and given the recommended level score, using the results to do a reference for tourism information in order to make the user an easier way to make decisions. When classifying the information required large amounts of data calculation, calculation of these large amounts of data often can’t mediately reply to them. Moreover, the current rate of growth of the Internet, information is instantly updated at any time, online data volume will be expanded over time. As a result, in order to be able to instantly update any time, this study uses the concept of cloud computing infrastructure, cloud computing is based on virtualization, Virtualization can make the computing power of computers to do more accurate quantification, let a large number of calculations scattered to different virtualization machine calculate at the same time, this can accelerate the speed of classification. This study proposes this method is to provide to users to be simpler and more efficient information retrieval method, then the user can quickly plan their own itinerary.