A recommendation system based on mining human portfolio for museum navigation

摘要

In most developed countries, people now increasingly focus on leisure activities such as going to concerts, visiting museums, or sporting events. Because we live in an era of information technology, this technology can help us in leisure activities. While people enjoy attending exhibitions or visiting museums, many visitors go without a specific purpose or interest, thus making it difficult for them to retrieve useful information to efficiently guide them through a museum for example. In this paper, a system that integrates wireless Internet, RFID technology, and mobile devices is built to guide visitors through navigating museums with personal and adaptive content. The mobile guide system can classify visitors based on exhibition information, personal information, and visitor history; this allows it to provide more suitable information for users. The system also utilizes semantic web technology to connect with data such as user type or properties to create human portfolios, and uses a metadata method to provide user information automatically and appropriately. Obtaining user feedback in this system results in a more useful guide to the colorful content of a museum and gives users a more personal experience to fit their needs.